CN104835315A - Mixed bus type-based bus operation time control system and method - Google Patents
Mixed bus type-based bus operation time control system and method Download PDFInfo
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Abstract
A mixed bus type-based bus operation time control system and method. Bus routes are classified, and the city bus routes are divided into a part with significant difference and a part with non-significant difference according to the difference of passenger flow in peak and low-ebb periods, so that whether a mixed bus type bus operation mode needs to be adopted is determined; categories of buses of the mixed bus type bus operation mode include buses of a conventional-capacity bus type with M seats and buses of a small-capacity bus type with N seats; bus scheduling work is to determine the car type of a regular bus of each time and departure interval time; based on getting-on and getting-off data of passengers of each station and related data of bus operation cost and the like, an optimal departure interval of the buses of the conventional-capacity bus type of the shift and an optimal departure interval of the buses of the small-capacity car type are calculated; costs of the bus operation modes of the two bus types at the optimal departure intervals are compared, and the regular bus with the lowest cost is selected and executed; and the abovementioned steps are repeated till a time period is over.
Description
Technical field
What the present invention relates to is a kind of technology of field of traffic control, specifically based on bus operation timing control system and the method for hybrid.
Background technology
Public traffic in priority is the effective method the most solving current city traffic problems.The innovation of bus operation aspect is the important content of public traffic in priority, plays an important role to the sound development of public transport.The establishment of timetable is one of groundwork of bus operation, rational timetable can improve the delivery efficiency of public transit vehicle effectively, shorten the stand-by period of passenger, cut operating costs, and then improve the competitive power of public transport, therefore, for a long time, the optimization of timetable is one of traffic scholar important research content.But passing timetable research is mainly reflected in the optimization aspect of departure interval, not yet considers the application of different automobile types bus on same public bus network.Therefore, formulate a transit scheduling that can comprise the optimum public transport vehicle its corresponding optimum departure interval and there is realistic meaning widely.
Through finding the retrieval of prior art, Chinese patent literature CN104157132A, open (bulletin) day 2014.11.19, disclose a kind of dynamic optimization method of self-adapting type bus departure timetable, step is as follows: determine the around the clock service period T of public bus network l, rated passenger capacity C, the maximum passenger capacity Cs of bus service vehicle and bus departure interval tm; Determine the distribution situation of public bus network l at the section passenger flow Pijlk of kth period between website i and adjacent sites j; According to public bus network l between website i and website j in operational process the section passenger flow data Pijlk (1) of the 1st bus of Real-time Feedback mate with the history bus station passenger flow section cumulative distribution curve on public bus network l, predict the 2nd bus section passenger flow demand distribution situation Pijlk (2), determine the frequency T12 of the 2nd bus; Use the bus departure timetable of the around the clock service period T of recurrence method determination public bus network l.This technology carrys out the time of departure of dynamic conditioning public transit vehicle by self-adapting type bus departure timetable, meets the passenger flow demand of constantly change, strengthens the reliability of bus service, reduces bus travel and incurs loss through delay, improve bus service satisfaction.But the departure interval that the bus operation timing control system of this technology is formulated is based on single vehicle operation mode, the generation of certain vehicle waste can be caused, on the weak side to the adaptability of passenger flow fluctuation.
Summary of the invention
The present invention is directed to prior art above shortcomings, propose a kind of bus operation timing control system based on hybrid and method, rational scheduling scheme can be formulated for the fluctuate feature of period strong public bus network of passenger flow, more flexible and efficient.
The present invention is achieved by the following technical solutions:
The present invention relates to a kind of bus operation timing control system based on hybrid, comprising: public bus network divides module, assessment indicator system module, hybrid bus departure interval module, wherein:
Described public bus network divides module and comprises: taxon, conventional vehicle departure interval control module and little vehicle departure interval control module, wherein: taxon is connected with public traffic information system, to receive passenger demand information classification is peak and flat peak two parts, and exports conventional vehicle departure interval control module and little vehicle departure interval control module respectively to; Conventional vehicle departure interval control module is connected with assessment indicator system determination module, and transmits initial normal capacity vehicle operation mode departure interval information; Low capacity vehicle departure interval control module is connected with assessment indicator system determination module, and transmits initial low capacity vehicle operation mode departure interval information.
Described taxon process bus passenger demand information, be specially: processing the information source gathered is public bus network passenger demand amount historical data, by the public bus network information meeting mixing public transport vehicle received, be divided into significant difference and the not remarkable two parts of difference by peak and low ebb phase passenger flow difference size, export public transport classified information after its process to departure interval control module.
Described conventional vehicle departure interval control module determination regular public traffic minimum departure interval Δ t
minand maximum departure interval Δ t
maxtask, to assessment indicator system determination module export normal capacity vehicle operation mode departure interval information.
Described little vehicle departure interval control module determines the task of small-sized public transport minimum and maximum departure interval, exports little vehicle operation mode departure interval information to assessment indicator system determination module.
Described assessment indicator system determination module comprises: bus operation cost determination unit, passenger waiting time determining unit, time determining unit in passenger car, vehicle crowding determining unit, wherein: bus operation cost determination unit is connected with departure interval control module and transmits bus operation cost information, passenger waiting time determining unit is connected to departure interval control module and transmits passenger waiting time and corresponding time cost information, in passenger car, time determining unit is connected to departure interval control module and transmits passenger's riding time and corresponding time cost information, vehicle crowding determining unit be connected with departure interval control module and transmission vehicle in ridership and vehicle congestion information.
Described bus operation cost determination unit process bus operation cost (comprising cost of labor, fuel cost, vehicle depreciation cost etc.) information, is specially:
wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1normal capacity vehicle bus operation cost in situation; c
3for unit cost of labor; c
4for unit distance costs; S
kfor site k is adjacent the distance of website; The information source gathered is public transport company's operation data, exports bus operation cost information to departure interval determining unit after its process.
Described passenger waiting time determining unit process passenger waiting time information, is specially:
wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1passenger waiting time sum in situation; c
2for passenger unit stand-by period cost;
be the i-th+1 regular bus be Δ t in the departure interval
i+1in situation, site k is got on the bus ridership;
be the i-th+1 regular bus be Δ t in the departure interval
i+1the site k passenger average latency in situation; The information source gathered is that the website that investigation obtains is got on the bus ridership and average latency, and after its process, output passenger's average latency and corresponding time cost information are to hybrid bus departure interval determination module.
Time determining unit process passenger riding time information in described passenger car, is specially:
wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1time sum in passenger car in situation; c
1for time cost in passenger's flat vehicle;
be the i-th+1 regular bus be Δ t in the departure interval
i+1passenger inside the vehicle's number between site k to website k+1 in situation;
be the i-th+1 regular bus be Δ t in the departure interval
i+1the vehicle travel time between site k to website k+1 in situation; The information source gathered is public bus network day part operation historical data and passenger demand data, and after its process, output passenger's riding time and corresponding time cost information are to sending out hybrid bus departure interval determination module.
The described vehicle crowding determining unit process vehicle degree of crowding and passenger inside the vehicle's number information, be specially:
wherein P
maxfor passenger inside the vehicle's number maximal value; S
lfor bus seat figure place; δ is vehicle crowding; The information source gathered is bus shape parameter and passenger inside the vehicle's statistics, exports the vehicle degree of crowding and passenger inside the vehicle's number information extremely hybrid bus departure interval determination module after its process.
Described hybrid bus departure interval determination module comprises: conventional vehicle bus departure interval determining unit, little vehicle bus departure interval determining unit, comparative research unit, wherein: conventional vehicle bus departure interval determining unit and comparative research unit are connected and transmit conventional vehicle bus departure interval and cost information of dispatching a car, little vehicle bus departure interval determining unit and comparative research unit are connected and transmit little vehicle bus departure interval and cost information of dispatching a car, comparative research unit exports the vehicle information of next class of bus.
Described conventional vehicle bus departure interval determining unit process conventional vehicle bus departure interval information work for the treatment of.If i-th class of bus frequency is T
i, time total, segment length is T, and next class of bus departure interval is Δ t
i+1, regular public traffic minimum departure interval Δ t
minand maximum departure interval Δ t
max.Make Δ t
i+1=Δ t
max, utilize vehicle crowding determining unit to judge vehicle congestion state.If so, then time cost and operation cost sum in next regular bus passenger waiting time cost of normal capacity vehicle bus, car is calculated
and try to achieve
value; If not, then Δ t is made
i+1=Δ t
i+1-1, rejudge vehicle congestion state, until Δ t
i+1=Δ t
min; Export after its process
information is to comparative research unit.
Described little vehicle bus departure interval determining unit process conventional vehicle bus departure interval information, is specially: set i-th class of bus frequency as T
i, time total, segment length is T, and next class of bus departure interval is Δ t
i+1, Δ t of small-sized public transport minimum departure interval
minand maximum departure interval Δ t
max.Make Δ t
i+1=Δ t
max, utilize vehicle crowding determining unit to judge vehicle congestion state.If so, then time cost and operation cost sum in next regular bus passenger waiting time cost of normal capacity vehicle bus, car is calculated
and try to achieve
value; If not, then Δ t is made
i+1=Δ t
i+1-1, rejudge vehicle congestion state, until Δ t
i+1=Δ t
min; Export after its process
information is to comparative research unit.
Described comparative research unit compares
optimal value with
the work of optimal value, if the former is little, then next regular bus adopts normal capacity vehicle bus, otherwise next regular bus adopts low capacity vehicle bus.
The present invention relates to the control method of said system, comprise the following steps:
1) selection meets the public bus network of mixing public transport vehicle, is analyzed by bus operation historical data, determines that studied public bus network is applicable to mixing public transport vehicle operation mode;
2) according to Different periods operation actual conditions, determine each bus operation period parameters, as Different periods public transport target cabin factor, minimum and maximum bus departure interval etc., facilitate the establishment of next step transit scheduling;
3) normal capacity vehicle operation mode and next regular bus departure interval of low capacity vehicle operation mode is determined respectively, the cost considered has: bus operation cost (comprising cost of labor, fuel cost, vehicle depreciation cost etc.), time cost in passenger waiting time cost, passenger car;
4) contrast two kinds of operation mode long-run cost rates, select the departure interval that long-run cost rate under two kinds of patterns is lower, determine operation vehicle and the time of departure of next class of public transport;
5) repeat 3), 4) two steps, until departure interval sum equals or exceeds Period Length, obtain final timetable scheme.
Technique effect
Compared with prior art, the present invention has carried out systematically, effectively selecting to partial line road in public transit system, utilization ratio of the present invention can be improved well, eliminate not meeting public bus network of the present invention, ensure that specific aim of the present invention and rationality; The present invention is based on the operation mode of mixing public transport vehicle, include the fluctuation of public transport demand common for city in limit of consideration, to regulate the time of departure and to dispatch a car vehicle for means, adopt one bus dispatching strategy more flexibly, both improve the delivery efficiency of public transit vehicle, and shortened the stand-by period of passenger, save operation cost, also decrease the discharge of urban pollutant to a certain extent, economize energy, be conducive to the structure of green traffic system; The present invention determines bus operation strategy with the change of passenger demand amount, and clear model understands, algorithm simple possible, is convenient to its application in real work and popularization.
Accompanying drawing explanation
Fig. 1 is embodiment schematic flow sheet.
Embodiment
Elaborate to embodiments of the invention below, the present embodiment is implemented under premised on technical solution of the present invention, give detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
Embodiment 1
As shown in Figure 1, the present embodiment comprises the following steps:
1) selection meets the public bus network of mixing public transport vehicle, is analyzed by bus operation historical data, determines that studied public bus network is applicable to mixing public transport vehicle operation mode;
2) according to Different periods operation actual conditions, determine each bus operation period parameters, as Different periods public transport target cabin factor, minimum and maximum bus departure interval etc., facilitate the establishment of next step transit scheduling;
3) normal capacity vehicle operation mode and next regular bus departure interval of low capacity vehicle operation mode is determined respectively, the cost considered has: bus operation cost (comprising cost of labor, fuel cost, vehicle depreciation cost etc.), time cost in passenger waiting time cost, passenger car;
4) contrast two kinds of operation mode long-run cost rates, select the departure interval that long-run cost rate under two kinds of patterns is lower, determine operation vehicle and the time of departure of next class of public transport;
5) repeat 3), 4) two steps, until departure interval sum equals or exceeds Period Length, obtain final timetable scheme.
The present embodiment is applicable to the larger urban public bus lines of passenger demand amount undulatory property.Therefore, need first to determine whether certain public bus network meets mixing public transport vehicle operation mode.Because the present embodiment is the method processing the fluctuation of passenger demand amount, so the public bus network that selection meets mixing public transport vehicle operation mode public bus network traffic-operating period to be selected temporally will be divided into some operation periods.Here, be a period carry out Time segments division by public bus network traffic-operating period by one hour.Next determines to select the evaluation index meeting mixing public transport vehicle public bus network.This index is used to judge that public bus network passenger demand amount is in Different periods otherness.The change of passenger loading quantity is reflection passenger demand amount fluctuation the most directly index, and these data can obtain from extracting directly bus operation Enterprise IC Card database of record; Except passenger loading number, passenger's milimeter number also can be used for weighing passenger demand situation as auxiliary characteristics, according to the anti-knot fruit of the passenger OD obtained based on passenger's IC-card data and driving gps data, can estimate this index of passenger's milimeter number.Again variance calculating is carried out to the ridership of this each period of public bus network and passenger's milimeter number, obtain ridership variance and passenger's milimeter number variance respectively, it is weighted on average.According to weighted mean value, the comprehensive operation actual conditions analyzing public bus network, determine whether it meets mixing public transport vehicle operation mode.
Selecting out after certain public bus network meets mixing bus operation pattern, just can carry out timetable to it and optimizing.Because public bus network has certain otherness in Different periods operation target, also the bus operation parameter difference to some extent used by transit scheduling optimization can be caused, as in the morning peak stage, as soon as possible the ridership of bus station being transported to its destination is topmost operation target, and therefore the public transport crowding (maximum passenger inside the vehicle's number/seating capacity) in morning peak stage sets bigger than normal.In addition, Different periods public transit vehicle driving parameters is also different, such as: due to the remarkable difference of road traffic flow, during morning peak, the travel speed of vehicle is significantly less than the travel speed of ebb vehicle in period.Following table is certain public bus network determined bus operation parameter list peak period, wherein: δ is crowding; Δ t
minfor the minimum departure interval; Δ t
maxfor the maximum departure interval; c
1for time cost in passenger's flat vehicle; c
2for passenger unit stand-by period cost; c
3for unit cost of labor; c
4for normal capacity vehicle bus unit distance cost; c
5for low capacity vehicle bus unit distance cost.
Certain public bus network operational parameter of table 1
After determining bus operation parameter, normal capacity vehicle operation mode and next regular bus departure interval of low capacity vehicle operation mode can be determined respectively:
If i-th class of bus frequency is T
i, time total, segment length is T, determines next class of bus departure interval Δ t
i+1step is as follows:
Step1: make Δ t
i+1=Δ t
max, calculate site k and adjacent sites passenger inside the vehicle number P thereof under this departure interval
i+1, k, and determine at passenger inside the vehicle's number maximal value P in such cases
max;
Step2: normal capacity vehicle bus is judged
wherein S
l, S
sfor normal capacity vehicle bus seat figure place, δ is designated vehicle crowding;
Step3: if not, then make Δ t
i+1=Δ t
i+1-1;
Step4: if then calculate time cost and operation cost sum in next regular bus passenger waiting time cost of normal capacity vehicle bus, car
and try to achieve
value;
In car, time cost is determined by passenger inside the vehicle's number and journey time in adjacent two website stroke, and its calculating formula is:
wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1time sum in passenger car in situation; c
1for time cost in passenger's flat vehicle;
be the i-th+1 regular bus be Δ t in the departure interval
i+1passenger inside the vehicle's number between site k to website k+1 in situation;
be the i-th+1 regular bus be Δ t in the departure interval
i+1the vehicle travel time between site k to website k+1 in situation.
Passenger waiting time cost was determined by get on the bus ridership and average latency of each website, and its calculating formula is:
wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1passenger waiting time sum in situation; c
2for passenger unit stand-by period cost;
be the i-th+1 regular bus be Δ t in the departure interval
i+1in situation, site k is got on the bus ridership;
be the i-th+1 regular bus be Δ t in the departure interval
i+1the site k passenger average latency in situation.
Operation cost is determined by vehicle overall travel time, operating range and type of vehicle, and it is be divided into the cost of labor relevant with running time and the vehicle cost relevant with stroke distances, and comprise fuel cost, wearing and tearing cost etc., its calculating formula is:
wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1normal capacity vehicle bus operation cost in situation; c
3for unit cost of labor; c
4for unit distance costs; S
kfor site k is adjacent the distance of website.
Step5: make Δ t
i+1=Δ t
i+1-1, proceed to Step1, until Δ t
i+1=Δ t
min;
Step6: select
the time interval corresponding to minimum value is next regular bus departure interval of normal capacity vehicle bus;
For low capacity vehicle bus with its next regular bus departure interval of identical computing method.
Relatively
optimal value with
optimal value, if the former is little, then next regular bus adopts normal capacity vehicle bus, otherwise next regular bus adopts low capacity vehicle bus.
This gives how to select meet mixing public transport vehicle operation mode public bus network, how to determine each bus operation period parameters, how to determine normal capacity vehicle operation mode and next regular bus departure interval of low capacity vehicle operation mode, and contrast two kinds of operation mode long-run cost rates on this basis, determine operation vehicle and the time of departure of next class of public transport.The present embodiment hybrid kind is normal capacity vehicle bus and low capacity vehicle bus two kinds, and the definition of concrete normal capacity and low capacity vehicle can be determined on a case-by-case basis.Timetable as the bus operation pattern of three kinds or more vehicle is worked out, and the present embodiment also has reference value.
Claims (9)
1. based on a bus operation timing control system for hybrid, it is characterized in that, comprising: public bus network divides module, assessment indicator system module, hybrid bus departure interval module, wherein:
Described public bus network divides module and comprises: taxon, conventional vehicle departure interval control module and little vehicle departure interval control module, wherein: taxon is connected with public traffic information system, to receive passenger demand information classification is peak and flat peak two parts, and exports conventional vehicle departure interval control module and little vehicle departure interval control module respectively to; Conventional vehicle departure interval control module is connected with assessment indicator system determination module, and transmits initial normal capacity vehicle operation mode departure interval information; Low capacity vehicle departure interval control module is connected with assessment indicator system determination module, and transmits initial low capacity vehicle operation mode departure interval information;
Described assessment indicator system determination module comprises: bus operation cost determination unit, passenger waiting time determining unit, time determining unit in passenger car, vehicle crowding determining unit, wherein: bus operation cost determination unit is connected with departure interval control module and transmits bus operation cost information, passenger waiting time determining unit is connected to departure interval control module and transmits passenger waiting time and corresponding time cost information, in passenger car, time determining unit is connected to departure interval control module and transmits passenger's riding time and corresponding time cost information, vehicle crowding determining unit be connected with departure interval control module and transmission vehicle in ridership and vehicle congestion information,
Described hybrid bus departure interval determination module comprises: conventional vehicle bus departure interval determining unit, little vehicle bus departure interval determining unit, comparative research unit, wherein: conventional vehicle bus departure interval determining unit and comparative research unit are connected and transmit conventional vehicle bus departure interval and cost information of dispatching a car, little vehicle bus departure interval determining unit and comparative research unit are connected and transmit little vehicle bus departure interval and cost information of dispatching a car, comparative research unit exports the vehicle information of next class of bus.
2. system according to claim 1, it is characterized in that, described taxon process bus passenger demand information, be specially: processing the information source gathered is public bus network passenger demand amount historical data, by the public bus network information meeting mixing public transport vehicle received, be divided into significant difference and the not remarkable two parts of difference by peak and low ebb phase passenger flow difference size, export public transport classified information after its process to departure interval control module;
Described conventional vehicle departure interval control module determination regular public traffic minimum departure interval Δ t
minand maximum departure interval Δ t
maxtask, to assessment indicator system determination module export normal capacity vehicle operation mode departure interval information;
Described little vehicle departure interval control module determines the task of small-sized public transport minimum and maximum departure interval, exports little vehicle operation mode departure interval information to assessment indicator system determination module.
3. system according to claim 1, is characterized in that, described bus operation cost determination unit process bus operation cost information, is specially:
Wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1normal capacity vehicle bus operation cost in situation; c
3for unit cost of labor; c
4for unit distance costs; S
kfor site k is adjacent the distance of website; The information source gathered is public transport company's operation data, exports bus operation cost information to departure interval determining unit after its process;
Described passenger waiting time determining unit process passenger waiting time information, is specially:
Wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1passenger waiting time sum in situation; c
2for passenger unit stand-by period cost;
be the i-th+1 regular bus be Δ t in the departure interval
i+1in situation, site k is got on the bus ridership;
be the i-th+1 regular bus be Δ t in the departure interval
i+1the site k passenger average latency in situation; The information source gathered is that the website that investigation obtains is got on the bus ridership and average latency, and after its process, output passenger's average latency and corresponding time cost information are to hybrid bus departure interval determination module;
Time determining unit process passenger riding time information in described passenger car, is specially:
Wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1time sum in passenger car in situation; c
1for time cost in passenger's flat vehicle;
be the i-th+1 regular bus be Δ t in the departure interval
i+1passenger inside the vehicle's number between site k to website k+1 in situation;
be the i-th+1 regular bus be Δ t in the departure interval
i+1the vehicle travel time between site k to website k+1 in situation; The information source gathered is public bus network day part operation historical data and passenger demand data, and after its process, output passenger's riding time and corresponding time cost information are to sending out hybrid bus departure interval determination module;
The described vehicle crowding determining unit process vehicle degree of crowding and passenger inside the vehicle's number information, be specially:
wherein P
maxfor passenger inside the vehicle's number maximal value; S
lfor bus seat figure place; δ is vehicle crowding; The information source gathered is bus shape parameter and passenger inside the vehicle's statistics, exports the vehicle degree of crowding and passenger inside the vehicle's number information extremely hybrid bus departure interval determination module after its process.
4. system according to claim 1, is characterized in that, described conventional vehicle bus departure interval determining unit process conventional vehicle bus departure interval information work for the treatment of, if i-th class of bus frequency is T
i, time total, segment length is T, and next class of bus departure interval is Δ t
i+1, regular public traffic minimum departure interval Δ t
minand maximum departure interval Δ t
max, make Δ t
i+1=Δ t
max, utilizing vehicle crowding determining unit to judge vehicle congestion state, when being, then calculating time cost and operation cost sum in next regular bus passenger waiting time cost of normal capacity vehicle bus, car
and try to achieve
value; When no, then make Δ t
i+1=Δ t
i+1-1, rejudge vehicle congestion state, until Δ t
i+1=Δ t
min; Export after its process
information is to comparative research unit;
Described little vehicle bus departure interval determining unit process conventional vehicle bus departure interval information, is specially: set i-th class of bus frequency as T
i, time total, segment length is T, and next class of bus departure interval is Δ t
i+1, Δ t of small-sized public transport minimum departure interval
minand maximum departure interval Δ t
max, make Δ t
i+1=Δ t
max, utilizing vehicle crowding determining unit to judge vehicle congestion state, when being, then calculating time cost and operation cost sum in next regular bus passenger waiting time cost of normal capacity vehicle bus, car
and try to achieve
value; When no, then make Δ t
i+1=Δ t
i+1-1, rejudge vehicle congestion state, until Δ t
i+1=Δ t
min; Export after its process
information is to comparative research unit;
Described comparative research unit compares
optimal value with
the work of optimal value, when the former is little, then next regular bus adopts normal capacity vehicle bus, otherwise next regular bus adopts low capacity vehicle bus.
5. the control method of system according to above-mentioned arbitrary claim, is characterized in that, comprise the following steps:
1) selection meets the public bus network of mixing public transport vehicle, is analyzed by bus operation historical data, determines that studied public bus network is applicable to mixing public transport vehicle operation mode;
2) according to Different periods operation actual conditions, determine each bus operation period parameters, as Different periods public transport target cabin factor, minimum and maximum bus departure interval, facilitate the establishment of next step transit scheduling;
3) determine normal capacity vehicle operation mode and next regular bus departure interval of low capacity vehicle operation mode respectively, the cost considered has: bus operation cost, time cost in passenger waiting time cost, passenger car;
4) contrast two kinds of operation mode long-run cost rates, select the departure interval that long-run cost rate under two kinds of patterns is lower, determine operation vehicle and the time of departure of next class of public transport;
5) repeat 3), 4) two steps, until departure interval sum equals or exceeds Period Length, obtain final timetable scheme.
6. control method according to claim 5, is characterized in that, described step 1) specifically refer to: public bus network traffic-operating period to be selected is temporally divided into some operation periods.Here, be a period carry out Time segments division by public bus network traffic-operating period by one hour.Next determines to select the evaluation index meeting mixing public transport vehicle public bus network.This index is used to judge that public bus network passenger demand amount is in Different periods otherness.The change of passenger loading quantity is reflection passenger demand amount fluctuation the most directly index, and these data can obtain from extracting directly bus operation Enterprise IC Card database of record; Except passenger loading number, passenger's milimeter number also can be used for weighing passenger demand situation as auxiliary characteristics, according to the anti-knot fruit of the passenger OD obtained based on passenger's IC-card data and driving gps data, can estimate this index of passenger's milimeter number.Again variance calculating is carried out to the ridership of this each period of public bus network and passenger's milimeter number, obtain ridership variance and passenger's milimeter number variance respectively, it is weighted on average.According to weighted mean value, the comprehensive operation actual conditions analyzing public bus network, determine whether it meets mixing public transport vehicle operation mode.
7. control method according to claim 5, it is characterized in that, described bus operation period parameters comprises: time cost, passenger unit stand-by period cost, unit labour cost, normal capacity vehicle bus unit distance cost, low capacity vehicle bus unit distance cost in crowding, minimum departure interval, maximum departure interval, passenger's flat vehicle.
8. control method according to claim 5, is characterized in that, described step 3 specifically comprises:
1: make Δ t
i+1=Δ t
max, calculate site k and adjacent sites passenger inside the vehicle number P thereof under this departure interval
i+1, k, and determine at passenger inside the vehicle's number maximal value P in such cases
max;
2: normal capacity vehicle bus is judged
wherein S
l, S
sfor normal capacity vehicle bus seat figure place, δ is designated vehicle crowding;
3: when no, then make Δ t
i+1=Δ t
i+1-1;
4: when being, then calculate time cost and operation cost sum in next regular bus passenger waiting time cost of normal capacity vehicle bus, car
and try to achieve
value;
In car, time cost is determined by passenger inside the vehicle's number and journey time in adjacent two website stroke,
Wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1time sum in passenger car in situation; c
1for time cost in passenger's flat vehicle;
be the i-th+1 regular bus be Δ t in the departure interval
i+1passenger inside the vehicle's number between site k to website k+1 in situation;
be the i-th+1 regular bus be Δ t in the departure interval
i+1the vehicle travel time between site k to website k+1 in situation;
Passenger waiting time cost was determined by get on the bus ridership and average latency of each website,
Wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1passenger waiting time sum in situation; c
2for passenger unit stand-by period cost;
be the i-th+1 regular bus be Δ t in the departure interval
i+1in situation, site k is got on the bus ridership;
be the i-th+1 regular bus be Δ t in the departure interval
i+1the site k passenger average latency in situation;
Operation cost is determined by vehicle overall travel time, operating range and type of vehicle, and it is be divided into the cost of labor relevant with running time and the vehicle cost relevant with stroke distances, comprises fuel cost, wearing and tearing cost,
Wherein:
be the i-th+1 regular bus be Δ t in the departure interval
i+1normal capacity vehicle bus operation cost in situation; c
3for unit cost of labor; c
4for unit distance costs, S
kfor site k is adjacent the distance of website.
9. control method according to claim 8, is characterized in that, described step 4 specifically comprises:
A: make Δ t
i+1=Δ t
i+1-1, proceed to Step1, until Δ t
i+1=Δ t
min;
B: select
the time interval corresponding to minimum value is next regular bus departure interval of normal capacity vehicle bus; For low capacity vehicle bus with its next regular bus departure interval of identical computing method; Relatively
optimal value with
optimal value, when the former is little, then next regular bus adopts normal capacity vehicle bus, otherwise next regular bus adopts low capacity vehicle bus.
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