CN103824450A - Special vehicle route planning method based on traffic state rule for large-scale activities - Google Patents

Special vehicle route planning method based on traffic state rule for large-scale activities Download PDF

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CN103824450A
CN103824450A CN201410104446.9A CN201410104446A CN103824450A CN 103824450 A CN103824450 A CN 103824450A CN 201410104446 A CN201410104446 A CN 201410104446A CN 103824450 A CN103824450 A CN 103824450A
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CN103824450B (en
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许乃星
左俊中
陈亮
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Fuzhou planning and Design Institute Group Co.,Ltd.
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Abstract

The invention relates to a special vehicle route planning method based on a traffic state rule for large-scale activities. The special vehicle route planning method comprises the following steps: deeply mining acquired traffic data by an acquired traffic information extraction system, extracting to obtain a regional road network traffic state rule, and introducing the regional road network traffic state rule in a vehicle route algorithm library; with the traffic state rule as a route generation index by the vehicle route algorithm library, carrying out layered feasible vehicle route search on the start end and the end point planned in a road network by an established multi-level simple search algorithm; and with travel time, a crowdedness degree, a safety degree and the like as feasible route evaluation indexes, carrying out comprehensive evaluation on a plurality of primarily-selected vehicle routes by establishing a model, and determining special vehicle routes for the large-scale activities according to the sequencing of the comprehensive evaluation values. According to the special vehicle route planning method disclosed by the invention, a large number of traffic basis data can be adequately utilized, and the reasonable and effective vehicle routes can be formulated for the various large-scale activities, thus reducing the interference of special traffic of the large-scale activities on urban daily traffic; moreover, the vehicle route generation time is effectively shortened.

Description

Large-scale activity Special running layout of roads method based on traffic behavior rule
Technical field
The present invention relates to a kind of large-scale activity Special running layout of roads method of large-scale activity to the daily traffic interference in city that be conducive to reduce, belong to information technology application and intelligent transportation system field.
Background technology
Along with the continuous prosperity and development of China's economy, the improving constantly of people's living standard, take physical culture, culture, exhibitions etc. as the large-scale activity of representative day by day frequent, as Beijing Olympic Games, Shanghai World's Fair, the Guangzhou Asian Games etc.Although large-scale activity hold the influence power that can promote city, promote regional economy social development, enrich civic material and cultural life, still, the concentrated trip in the short-term that activity causes during holding tends to originally bringing immense pressure with regard to very nervous Traffic Systems.For guarantee large-scale activity hold during the safety of Traffic Systems and unimpeded, and reduce the impact of large-scale activity on the normal productive life in city as far as possible, by convention, be to solve by dedicated Lanes (being the large-scale activity special-purpose vehicle track of setup and use temporarily in city road network) are set the trip causing due to large-scale activity.
The object of special lane setting is to solve large-scale activity Olympic Family Members trip and large-scale activity spectators trip, guarantees that they can quick, comfortable, safe, reliable, reaching on the time competition gymnasiums and stadiums.Whether the reasonable setting of large-scale activity Special running circuit directly affects holding smoothly of large-scale activity.At present, large-scale activity Special running circuit is mainly according to qualitative analysis or formulates corresponding principle and determine, lays particular emphasis on the evaluation of driving route, not yet has the first choosing method of the feasible driving route of large-scale activity of quantification; And existing method does not take into full account the impact how reducing city normal traffic.Therefore,, in following large-scale activity traffic organization planning, be necessary to propose more rationally effective large-scale activity Special running layout of roads method of one.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of large-scale activity driving route planing method based on traffic behavior rule, and overcoming feasible driving route in existing method cannot quantification planning, cannot effectively reduce the deficiency of the interference to the daily traffic in city.
The present invention solves the problems of the technologies described above by the following technical solutions, specifically comprises the steps:
Step 1: utilize video, Floating Car, flow detection device to gather average speed, saturation degree, crossing mean delay and traffic flow information on road, and the traffic data collecting is sent to transport information extraction system;
Step 2: transport information extraction system is carried out degree of depth excavation to the traffic data collecting, extracts and obtains Regional Road Network traffic behavior rule, and imported driving route algorithms library;
Step 3: traffic behavior rule is generated to index as feasible circuit, and driving route algorithms library carries out path hierarchical search to the terminus of planning, if the unimpeded circuit search of system-wide section layer finds the feasible driving route satisfying condition, search stops; If do not meet the demands, enter time crowded circuit search layer, until search obtains many satisfied feasible driving routes;
Step 4: using journey time, the degree of crowding, safe coefficient, view, as feasible circuit evaluation index, carries out comprehensive evaluation by building model to many driving routes of primary election on the way, determines large-scale activity Special running circuit according to the sequence of comprehensive evaluation value.
The advantage of this method is: quiet, the dynamic information that collect take front-end equipment are basis, introduce the extraction of transport information extractive technique and obtain Regional Road Network traffic behavior rule, set it as the generation of large-scale activity Special running circuit and the index of evaluation, many the driving routes to preliminary search carry out comprehensive evaluation, finally determine large-scale activity Special running circuit.The present invention can make full use of the traffic basic data of magnanimity, can be that effectively driving route is formulated rationally in all kinds of large-scale activities, has reduced the interference of the special traffic of large-scale activity to the daily traffic in city, and has effectively reduced the traffic route rise time.
Accompanying drawing explanation
The present invention is described in further detail in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the system framework figure of large-scale activity Special running layout of roads method of the present invention
Fig. 2 is Regional Road Network traffic behavior the form of the rules process flow diagram of the present invention
Fig. 3 is the brief searching algorithm process flow diagram of a kind of multi-layer based on congested in traffic degree of the present invention
Fig. 4 is the feasible driving route assessment indicator system that preliminary screening of the present invention goes out
Embodiment
The present invention solves the problems of the technologies described above by the following technical solutions, specifically comprises the steps:
Step 1: utilize the equipment such as video, Floating Car, flow detection to gather average speed on typical road, saturation degree, crossing mean delay and traffic flow information, and the traffic data collecting is sent to transport information extraction system;
Step 2: the section that transport information extraction system collects front-end equipment and crossing traffic data carry out degree of depth excavation, extracts and obtains Regional Road Network traffic behavior rule, and imported driving route algorithms library;
Step 3: traffic behavior rule is generated to index as feasible circuit, and driving route algorithms library carries out path hierarchical search to the terminus of planning, if the unimpeded circuit search of system-wide section layer finds the feasible driving route satisfying condition, search stops; If do not meet the demands, enter time crowded circuit search layer, until search obtains many satisfied feasible driving routes;
Step 4: using journey time, the degree of crowding, safe coefficient, view, as feasible circuit evaluation index, carries out comprehensive evaluation by building model to many driving routes of primary election on the way, determines large-scale activity Special running circuit according to the sequence of comprehensive evaluation value.
Fig. 1 is the system framework figure of the large-scale activity Special running layout of roads method based on traffic behavior rule of the present invention, wherein detail display four parts of large-scale activity Special running layout of roads system based on traffic behavior rule.What Part I carried out is based on front-end equipment traffic data sampling at times, and Regional Road Network traffic behavior is differentiated; What Part II carried out is to Regional Road Network traffic behavior Rule Extraction; What Part III carried out is to call region road net traffic state rule index, and search obtains many feasible driving routes; What Part IV carried out is to build model feasible circuit is carried out to comprehensive evaluation, realizes the large-scale activity Special running layout of roads of system.
Fig. 2 is Regional Road Network traffic behavior the form of the rules process flow diagram of the present invention.Forming process is: the traffic behavior of differentiating the complete section of traffic data based on fuzzy set; Based on rough set theory, typical section in urban road network (through street, major trunk roads and subsidiary road) carried out to traffic behavior Rule Extraction, matching formation rule collection, for differentiating the traffic behavior in traffic data vacuum section; Form whole Regional Road Network traffic behavior through twice differentiation, then differentiate the time interval by division, Regional Road Network traffic behavior is carried out to matching and integrated, further extract and obtain road net traffic state rule.
Fig. 3 is the brief feasible driving route searching algorithm process flow diagram of a kind of multi-layer based on congested in traffic degree of the present invention.By building the brief searching algorithm of multi-layer, the feasible driving route of road network is carried out to preliminary screening.Wherein, every layer all using congested in traffic degree as the first order differentiate, take journey time and search circuit number as constraint condition do the second level differentiate.The brief searching algorithm of multi-layer is totally divided into four layers, and every layer of Search Results is as the object of lower floor's data processing.
Ground floor is the unimpeded circuit search of system-wide section, and each section of the driving route searching out composition is unimpeded, can obtain all unimpeded sections in whole road network by ground floor search; The second layer is the slight crowded circuit search in part section, and the circuit ingredient road section traffic volume state searching out, for slightly crowded, loads the unimpeded section of ground floor search simultaneously, forms feasible driving route; The 3rd layer is the crowded circuit search in part section, and above two-layer Search Results basis, searches for the crowded section of highway in road network; The 4th layer is the plugged line search of part section, take three first layers Search Results as basis, after stopping up section search, sets up feasible driving route.
Concrete steps are as follows:
Step 1: choose with reference to setting out moment t as initial time input system the unimpeded circuit search module access of system-wide section.First search for all unimpeded sections in road network wherein
Figure BDA0000479560320000042
be the j article of road section traffic volume state value that i layer searches out from road network, the quantitative assignment in unimpeded section is 1; Enter for the first time and differentiate, in all unimpeded sections, search out the feasible driving route from origin-to-destination, show if the each road section traffic volume state of circuit meets to express
Figure BDA0000479560320000051
wherein
Figure BDA0000479560320000052
for the unimpeded driving route traffic behavior of the system-wide section calculated value of ground floor search,
Figure BDA0000479560320000053
be the l article of feasible driving route that i layer searches out; L is every layer and searches out qualified feasible driving route total number; The m searching out 1the traffic behavior in each section of bar driving route is unimpeded, enters step 2; If cannot meet, enter step 3.
Step 2: the unimpeded driving route of system-wide section is differentiated for the second time.If every driving route meets starting point O and is less than or equal to maximum to terminal D total travel time and can stands the time,
Figure BDA0000479560320000054
and the driving route number m searching out 1wherein, M is the driving route higher limit tentatively searching out to>=M(, and concrete number can be decided in its sole discretion according to demand), stop search, directly enter step 4; If cannot meet, enter step 3.
Wherein, follow starting point arrives destination maximum and stands journey time t maxthreshold value setting, can be defined as 1.2~1.5 times of normal transit time of circuit, or the upper limit of large-scale activity regulation time of arrival, and its value of different terminus arranges not identical; Each Link Travel Time is link travel time and intersection delay sum, and computing formula as the formula (1); Every driving route journey time T oDfor each Link Travel Time sum, computing formula as the formula (2).
T j l = t j l + d j l - - - ( 1 )
T OD l = Σ j = 1 k l T j l = Σ j = 1 k l ( t j l + d j l ) - - - ( 2 )
In formula,
Figure BDA0000479560320000057
be j Link Travel Time of l article of feasible driving route;
Figure BDA0000479560320000058
for the running time in section;
Figure BDA0000479560320000059
for the vehicle mean delay on j section Adjacent Intersections entrance driveway, can adopt Robert Webster formula to calculate and try to achieve; it is the total travel time of l article of feasible driving route; k lit is the maximum numbering in the section that comprises of l article of feasible driving route.
Step 3: the slight crowded driving route in second layer part section is differentiated.If ground floor cannot search out a unimpeded driving route of system-wide section or have qualified driving route only quantitatively not reach requirement (m 1<M), access the slight crowded driving route module in second layer part section, in road network, search out equally all road section traffic volume states for slightly crowded (
Figure BDA0000479560320000061
) after, (be that circuit meets take traffic behavior as first order criterion
Figure BDA0000479560320000062
take journey time and driving route quantity as second level criterion (
Figure BDA0000479560320000063
and m 1+ m 2>=M), if satisfy condition, stop search, enter step 6; If cannot satisfy condition, enter step 4.
Step 4: the 3rd crowded driving route in layer segment section is differentiated.In search road network all traffic behaviors be crowded section (
Figure BDA0000479560320000064
), carry out respectively first order differentiation (
Figure BDA0000479560320000065
) and second level differentiation (
Figure BDA0000479560320000066
and m 1+ m 2+ m 3>=M), if all satisfy condition, stop search, enter step 6; If cannot satisfy condition, enter step 5.
Step 5: the 4th layer segment section is stopped up driving route and differentiated.Search road network in all traffic behaviors be stop up section (
Figure BDA0000479560320000067
), carry out respectively first order differentiation (
Figure BDA0000479560320000068
) and second level differentiation (
Figure BDA0000479560320000069
and m 1+ m 2+ m 3+ m 4>=M), if all satisfy condition, stop search, enter step 6; If cannot satisfy condition, enter step 7.
Step 6: many driving routes of output preliminary screening.Wherein, except exporting the feasible driving route that meets current layer condition, also to export the feasible driving route that its anterior layer does not satisfy condition due to quantity.
Step 7: four layers of search all cannot meet the demands,, with time interval Δ t, from the new adjustment moment, enters step 1, and circulation enters next round search, until find eligible driving route.
Fig. 4 is the feasible driving route assessment indicator system that preliminary screening of the present invention goes out.Path using road net traffic state rule as feasible driving route generates and the index of evaluating, and based on AHP method, many of primary election feasible driving routes is carried out to comprehensive evaluation, determines large-scale activity Special running circuit.Concrete steps are as follows:
Step 1: the path attribute demand that considers Olympic Family Members and spectators in the time holding large-scale activity, and avoid choosing too much index and the weight that reduces each index, choose journey time, the degree of crowding (extracting road section traffic volume state from road net traffic state rule), safe coefficient (according to section and crossing traffic hazard incidence tolerance), view (employing ten point system evaluation on the way, score value is higher, and view is better) four indexs build feasible driving route assessment indicator system (as Fig. 3).
Step 2: development of judgment matrix, determine each key element relative weighting.Index system is divided into destination layer, indicator layer and measuring and calculating layer tertiary structure (as Fig. 3), need to set up two-stage judgment matrix to indicator layer and measuring and calculating layer.
1. the relative destination layer weight of indicator layer is determined.The order declining gradually according to drivers preference degree, index for selection is divided into 6 grades (" of the utmost importance ", " very important ", " important ", " slightly important ", " inessential ", " being indifferent to ") by relative importance, utilize (2,2) the subjective enabling legislation of EM is differentiated relative importance between two indexs, the vectorial weights omega=(ω of the each Attribute Relative destination layer of parameter layer 1, ω 2, ω 3, ω 4).
2. measuring and calculating layer relative indicatrix layer weight determined.Evaluation information matrix (D=(the d that road net traffic state rule is provided kn) p × m, wherein, d is the actual value that different evaluation index obtains; Carry out index and estimate unified processing, be converted to fresh information matrix and be designated as δ=(g kn) p × m; Transfer process as the formula (3), is converted to design objective the smaller the better, makes corresponding evaluation index maximal value and minimum value be respectively x i-maxand x i-min
Figure BDA0000479560320000071
Adopt the subjective enabling legislation of (2,2) EM to calculate the relative weighting of each the each section of the relative destination layer of feasible driving route attribute of measuring and calculating layer i is 4 indexs, and L is the feasible driving route number that preliminary screening goes out.
Step 3:4 the relative destination layer weight vectors of index is ω=(ω 1, ω 2, ω 3, ω 4), the weight of the feasible driving route relative indicatrix layer that preliminary screening goes out is
Figure BDA0000479560320000073
the comprehensive evaluation value vector calculation formula of the feasible driving route of L bar is: according to the maximal value in the comprehensive evaluation value vector calculating, determine special lane driving route.
The foregoing is only preferred embodiment of the present invention, all equalizations according to doing in the present patent application the scope of the claims change and modify, and all should belong to covering scope of the present invention.

Claims (6)

1. the large-scale activity Special running layout of roads method based on traffic behavior rule, is characterized in that: the method comprises the steps:
Step 1: utilize video, Floating Car, flow detection device to gather average speed, saturation degree, crossing mean delay and traffic flow information on road, and the traffic data collecting is sent to transport information extraction system;
Step 2: transport information extraction system is carried out degree of depth excavation to the traffic data collecting, extracts and obtains Regional Road Network traffic behavior rule, and imported driving route algorithms library;
Step 3: traffic behavior rule is generated to index as feasible circuit, and driving route algorithms library carries out path hierarchical search to the terminus of planning, if the unimpeded circuit search of system-wide section layer finds the feasible driving route satisfying condition, search stops; If do not meet the demands, enter time crowded circuit search layer, until search obtains many satisfied feasible driving routes;
Step 4: using journey time, the degree of crowding, safe coefficient, view, as feasible circuit evaluation index, carries out comprehensive evaluation by building model to many driving routes of primary election on the way, determines large-scale activity Special running circuit according to the sequence of comprehensive evaluation value.
2. the large-scale activity Special running layout of roads method based on traffic behavior rule according to claim 1, is characterized in that: described step 1 is further specially:
Utilize front-end equipment in traffic information acquisition system regularly to gather average speed v, journey time t, saturation degree s, crossing mean delay d and the magnitude of traffic flow q information of typical road, obtain data acquisition u=<s, t, d, q>, and the traffic data collecting is sent to transport information extraction system.
3. the large-scale activity Special running layout of roads method based on traffic behavior rule according to claim 2, is characterized in that: described step 2 is further specially: the traffic behavior of differentiating the complete section of traffic data based on fuzzy set; Based on rough set theory, through street, major trunk roads and subsidiary road in urban road network are carried out to traffic behavior Rule Extraction, matching formation rule collection, for differentiating the traffic behavior in traffic data vacuum section; Form whole Regional Road Network traffic behavior through twice differentiation, then differentiate the time interval by division, Regional Road Network traffic behavior is carried out to matching and integrated, further extract and obtain road net traffic state rule.
4. the large-scale activity Special running layout of roads method based on traffic behavior rule according to claim 3, it is characterized in that: described step 3 is further specially: by building the brief searching algorithm of multi-layer, the feasible driving route of road network is carried out to preliminary screening, wherein, every layer all using congested in traffic degree as the first order differentiate, take journey time and search circuit number as constraint condition do the second level differentiate; The brief searching algorithm of multi-layer is totally divided into four layers, requires differentiation process as follows:
Ground floor is the unimpeded circuit search of system-wide section, and each section of the driving route searching out composition is unimpeded, can obtain all unimpeded sections in whole road network by ground floor search, and secondary criterion is as follows:
The first order is differentiated: unimpeded section:
Figure FDA0000479560310000021
wherein,
Figure FDA0000479560310000028
be the j article of road section traffic volume state value that i layer searches out from road network, the quantitative assignment in unimpeded section is 1; The unimpeded circuit of system-wide section:
Figure FDA0000479560310000022
wherein
Figure FDA0000479560310000023
for the unimpeded driving route traffic behavior of the system-wide section calculated value of ground floor search,
Figure FDA0000479560310000024
be the l article of feasible driving route that i layer searches out; L is every layer and searches out qualified feasible driving route total number;
The second level is differentiated:
Figure FDA0000479560310000025
and m 1>=M; T oDfor starting point O is to terminal D total travel time, M is the driving route higher limit tentatively searching out;
The second layer is the medium crowded circuit search in part section, and the circuit ingredient road section traffic volume state searching out is medium crowded, loads the unimpeded section of ground floor search simultaneously, forms feasible driving route, and secondary criterion is as follows:
The first order is differentiated: medium crowded section of highway:
Figure FDA0000479560310000026
medium crowded circuit:
Figure FDA0000479560310000027
The second level is differentiated:
Figure FDA0000479560310000031
and m 1+ m 2>=M;
The 3rd layer is the crowded circuit search in part section, and above two-layer Search Results basis, searches for the crowded section of highway in road network, and secondary criterion is as follows:
The first order is differentiated: crowded section of highway:
Figure FDA0000479560310000032
crowded circuit:
Figure FDA0000479560310000033
The second level is differentiated:
Figure FDA0000479560310000034
and m 1+ m 2+ m 3>=M;
The 4th layer is the plugged line search of part section, take three first layers Search Results as basis, after stopping up section search, sets up feasible driving route, and secondary criterion is as follows:
The first order is differentiated: stop up section:
Figure FDA0000479560310000035
plugged line:
Figure FDA0000479560310000036
The second level is differentiated:
Figure FDA0000479560310000037
and m 1+ m 2+ m 3+ m 4>=M.
5. the large-scale activity Special running layout of roads method based on traffic behavior rule according to claim 4, is characterized in that: follow starting point arrives destination maximum and stands journey time t maxthreshold value setting, is defined as 1.2~1.5 times of normal transit time of circuit, or the upper limit of large-scale activity regulation time of arrival, and its value of different terminus arranges not identical; Each Link Travel Time is link travel time and intersection delay sum; Every driving route journey time T oDfor each Link Travel Time sum;
Each Link Travel Time:
T j l = t j l + d j l
Every driving route journey time:
T OD l = &Sigma; j = 1 k l T j l = &Sigma; j = 1 k l ( t j l + d j l )
In formula,
Figure FDA00004795603100000310
be j Link Travel Time of l article of feasible driving route;
Figure FDA00004795603100000311
for the running time in section;
Figure FDA00004795603100000312
for the vehicle mean delay on j section Adjacent Intersections entrance driveway, can adopt Robert Webster formula to calculate and try to achieve;
Figure FDA0000479560310000041
it is the total travel time of l article of feasible driving route; k lit is the maximum numbering in the section that comprises of l article of feasible driving route.
6. the large-scale activity Special running layout of roads method based on traffic behavior rule according to claim 4, it is characterized in that: described step 4 is further specially: choose journey time, the degree of crowding, safe coefficient, four indexs of view build feasible driving route assessment indicator system on the way, and based on AHP method, many of primary election feasible driving routes are carried out to comprehensive evaluation, determine large-scale activity Special running circuit; Wherein:
The degree of crowding: extract road section traffic volume state from road net traffic state rule;
Safe coefficient: according to section and crossing traffic hazard incidence tolerance, the number of times that every kilometer has an accident in observation time;
View on the way: adopt ten point system evaluation, score value is higher, and view is better.
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