CN104916127A - Internet of vehicles distributed real-time traffic condition analysis method and system - Google Patents
Internet of vehicles distributed real-time traffic condition analysis method and system Download PDFInfo
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Abstract
The invention discloses an internet of vehicles distributed real-time traffic condition analysis method and a system. The method comprises steps: a traffic management center collects vehicle position information via a load balancing cluster, and the position information is generated into Spout data sources to be put in a distributed real-time computing system; a main control node in the distributed real-time computing system receives the Spout data sources, resource allocation and task scheduling are carried out on the Spout data sources, and the Spout data sources are uniformly allocated to working nodes; a working node operates a processing assembly which is managed by the working node itself in the distributed real-time computing system, the Spout data source is analyzed and processed, and a traffic condition is acquired; and the traffic condition is updated on a map of the traffic management center, is stored in a database of the traffic management center or provides an interface for a third party in real time. thus, the traffic condition can be quickly, accurately and stably analyzed, and the defect that along with increasing of vehicles in the prior art, a single computer in the internet of vehicles can not meet requirements more and more and can not timely and stably acquire the traffic condition can be overcome.
Description
Technical field
The present invention relates to transportation service information management domain, more particularly, relate to a kind of car and to network the method and system of distributed real-time analysis traffic.
Background technology
Along with the increase of urban population, vehicle in urban transportation gets more and more, the information such as position, speed, acceleration, direction that in the traffic control center acquisition car networking of monitoring and controlling traffic road conditions, vehicle provides is also more and more, more and more frequent, the information summation that all vehicles provide is explosive increase, more and more be not suitable with requirement for the single computer obtaining traffic in car networking, the information can not stablize, provided according to vehicle in time analyzes traffic accurately.
Summary of the invention
The technical problem to be solved in the present invention is, for the above-mentioned increase along with vehicle of prior art, the positional information that traffic control center receives vehicle to be provided is explosive growth, in car networking, the single computer of traffic control center is more and more not suitable with requirement, the defect of acquisition traffic that can not be timely, stable, provides the method and system that distributed real-time point of traffic networked by a kind of car.
The technical solution adopted for the present invention to solve the technical problems is: construct a kind of car and to network the method for distributed real-time analysis traffic, comprising:
Traffic control center collects the positional information of vehicle by load balancing cluster, and the positional information of the described vehicle collected generation Spout data source is put into distributed real time computation system;
Main controlled node in described distributed real time computation system receives described Spout data source, and by zookeeper, Resourse Distribute and task scheduling are carried out to described Spout data source, give the working node in described distributed real time computation system by the uniform distribution of described Spout data source;
Described working node receives the described Spout data source that described main controlled node distributes, and runs the processing components to one's name managed in described distributed real time computation system, carries out analyzing and processing to described Spout data source, obtains traffic;
Described processing components by described traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.
Network in the method for distributed real-time analysis traffic at car of the present invention, described analyzing and processing carried out to described Spout data source, obtain traffic and specifically comprise:
Described processing components reads described Spout data source, and described Spout data source is converted to Bolt source data;
Described processing components analyzes the road section information at described vehicle place according to the positional information of the vehicle comprised in described Bolt source data;
Described processing components, according to the computing machine of how many distribution respective numbers of described road section information, is analyzed and is obtained traffic.
Network in the method for distributed real-time analysis traffic at car of the present invention, also comprised before described traffic control center collects the positional information of vehicle by load balancing cluster: described vehicle gathers the positional information of described vehicle by Beidou satellite navigation system or GPS GPS, and described vehicle position information is sent to traffic control center by 4G, 3G, GPRS or cdma network.
Network in the method for distributed real-time analysis traffic at car of the present invention, the positional information of described vehicle comprises the longitude and latitude of described vehicle, speed, direction, acceleration and/or sea level elevation.
The system that the present invention also provides a kind of car to network distributed real-time analysis traffic, comprise traffic control center and distributed real time computation system, described distributed real time computation system comprises main controlled node, working node and processing components, wherein:
Described traffic control center, for being collected the positional information of vehicle by load balancing cluster, and puts into described distributed real time computation system by the positional information of the described vehicle collected generation Spout data source;
Described main controlled node, for receiving described Spout data source, and carries out Resourse Distribute and task scheduling by zookeeper to described Spout data source, gives the working node in described distributed real time computation system by the uniform distribution of described Spout data source;
Described working node, for receiving the described Spout data source that described main controlled node distributes, runs the processing components to one's name managed in described distributed real time computation system;
Described processing components, for carrying out analyzing and processing to described Spout data source, obtains traffic, and by described traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.
Network in the system of distributed real-time analysis traffic at car of the present invention, described processing components comprises Spout assembly, the classification of road conditions section Bolt, road condition analyzing Bolt and road conditions issue Bolt, wherein:
Described Spout assembly, for reading described Spout data source, and is converted to Bolt source data by described Spout data source;
Described section classification Bolt, for analyzing the road section information at described vehicle place according to the positional information of the described vehicle comprised in described Bolt source data;
Described road condition analyzing Bolt, for the computing machine of how many distribution respective numbers according to described road section information, analyzes and obtains traffic;
Described road conditions issue Bolt, for by described traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.
Network in the system of distributed real-time analysis traffic at car of the present invention, described vehicle comprises:
Positional information acquisition module, for gathering the positional information of described vehicle by Beidou satellite navigation system or GPS GPS;
Communication module, for sending to traffic control center by described vehicle position information by 4G, 3G, GPRS or cdma network.
Network in the system of distributed real-time analysis traffic at car of the present invention, the positional information of described vehicle comprises the longitude and latitude of described vehicle, speed, direction, acceleration and/or sea level elevation.
Implement car of the present invention to network the method and system of distributed real-time analysis traffic, there is following beneficial effect: the present invention realizes based on distributed real time computation system by adopting the network method of distributed real-time analysis traffic of car, this distributed real time computation system has the functions such as low delay, high-performance, distributed, easily extensible, can according to the computing machine of the number distribution respective numbers of received vehicle position information, thus fast, accurate, stable analyze traffic.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is that car that the embodiment of the present invention provides is networked the process flow diagram of method of distributed real-time analysis traffic;
Fig. 2 is that car that further embodiment of this invention provides is networked the process flow diagram of method of distributed real-time analysis traffic;
Fig. 3 is the schematic diagram of the structure of distributed real time computation system in the embodiment of the present invention.
Embodiment
In order to solve the increase along with vehicle existing in prior art, urban traffic control receive centre is also explosive growth to the positional information that vehicle provides, in car networking, the single computer of traffic control center is more and more not suitable with requirement, can not be timely, the defect of stable acquisition traffic, innovative point of the present invention is: adopt the car realized based on distributed real time computation system to network the method for distributed real-time analysis traffic, the low delay that the method utilizes distributed real time computation system to have, high-performance, distributed, the functions such as easily extensible, can the computing machine of number distribution respective numbers of vehicle position information received by traffic control center, thus fast, accurately, stable analyzes traffic, solve single computer processing speed of the prior art slow, more and more be not suitable with requirement, can not be timely, the problem of stable acquisition traffic.
In order to there be understanding clearly to technical characteristic of the present invention, object and effect, now contrast accompanying drawing and describe the specific embodiment of the present invention in detail.
Fig. 1 is that car that the embodiment of the present invention provides is networked the process flow diagram of method of distributed real-time analysis traffic.Shown in Figure 1, the network method of distributed real-time analysis traffic of the car that the embodiment of the present invention provides comprises the following steps:
S101, traffic control center collect the positional information of vehicle by load balancing cluster, and the positional information of the vehicle collected generation Spout data source is put into distributed real time computation system (Storm system).Particularly, in the present embodiment, traffic control center adopts the Load-balancing Cluster of sing on web logic, by the repeating query of Weight-based round-robin(based on the load balancing of performance) algorithm reaches load balancing, thus cluster collects the positional information of vehicle fast.
Main controlled node in S102, distributed real time computation system receives Spout data source, and carries out Resourse Distribute and task scheduling by zookeeper to Spout data source, gives the working node in distributed real time computation system by the uniform distribution of Spout data source.Here ZooKeeper(distributed system is coordinated) be one distributed, the distributed application program coordination service of open source code, adopt, by zookeeper cluster, Resourse Distribute and task scheduling are carried out to Spout data source, the stability of system can be ensured.
S103, working node receive the Spout data source that main controlled node distributes, and run the processing components (worker) to one's name managed in distributed real time computation system, carry out analyzing and processing to described Spout data source, obtain traffic.The distributed real time computation system adopted in the present embodiment has distributivity, extensibility, real-time, can carry out data processing, quick, accurate, stable acquisition traffic according to the computing machine of the number distribution respective numbers of required process data volume.
S104, distributed real time computation system by traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.Here it should be noted that, the traffic that can analysis be obtained as required in the present embodiment is supplied to the third party with written form, graphic form or speech form or is kept at the database of traffic control center, can certainly be that the mode that in above-mentioned transmission form, arbitrary two kinds of forms are integrated is supplied to the third party or is kept at the database of traffic control center.
In addition, before step S101, also can comprise the positional information of vehicle by Beidou satellite navigation system or GPS GPS collection vehicle, and vehicle position information is sent to traffic control center by 4G, 3G, GPRS or cdma network; Wherein, the positional information of vehicle specifically can comprise the longitude and latitude of vehicle, speed, direction, acceleration and/or sea level elevation etc.
The car provided in the present embodiment is networked the method for distributed real-time analysis traffic, have employed distributed real time computation system and carry out data processing, utilize the performances such as the low delay of distributed real time computation system, high-performance, distributed, easily extensible, can be quick, accurate, stable analyze traffic, solve the explosive growth of the positional information provided along with vehicle in prior art, the problem of acquisition traffic that can not be timely, stable.
Fig. 2 is that car that further embodiment of this invention provides is networked the process flow diagram of method of distributed real-time analysis traffic.Shown in Figure 2, the method comprises:
S201, vehicle pass through the positional information of Beidou satellite navigation system or GPS GPS collection vehicle, and vehicle position information is sent to traffic control center by 4G, 3G, GPRS or cdma network; Wherein, the positional information of vehicle specifically can comprise the longitude and latitude of vehicle, speed, direction, acceleration and/or sea level elevation etc.
S202, traffic control center collect the positional information of vehicle by load balancing cluster, and the positional information of the vehicle collected generation Spout data source is put into distributed real time computation system.The same, in the present embodiment, traffic control center is also the Load-balancing Cluster adopting sing on web logic, reaches load balancing by Weight-based round-robin algorithm, thus cluster collects the positional information of vehicle fast.
Main controlled node in S203, distributed real time computation system receives Spout data source, and carries out Resourse Distribute and task scheduling by zookeeper to Spout data source, gives the working node in distributed real time computation system by the uniform distribution of Spout data source.
S204, working node receive the Spout data source that main controlled node distributes, and run the processing components to one's name managed in distributed real time computation system, and control treatment assembly reads Spout data source, and Spout data source is converted to Bolt source data.Here Spout refers to a topology(network topology) the middle assembly producing source traffic, Bolt refers to and accept the assembly that then data perform process in a topology, wherein, Topology is the real-time application run in distributed real time computation system, because the message flow of each inter-module forms a topological structure in logic.
S205, processing components analyze the road section information at vehicle place according to the positional information of the vehicle comprised in Bolt source data.Here road section information refers to and judges which section vehicle is positioned at, and is convenient to the positional information of this vehicle to send to road condition analyzing Bolt corresponding with it to carry out traffic analysis.
S206, processing components, according to the computing machine of how many distribution respective numbers of road section information, are analyzed and are obtained traffic.This refers to processing components and can carry out data processing according to the computing machine of the number distribution respective numbers of the data volume of required process, thus the acquisition traffic of fast and stable.
S207, distributed real time computation system by traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.The same, the traffic that also can analysis be obtained as required in the present embodiment is supplied to the third party with written form, graphic form or speech form or is kept at the database of traffic control center, can certainly be that the mode that in above-mentioned transmission form, arbitrary two kinds of forms are integrated is supplied to the third party or is kept at the database of traffic control center.
The car provided in the present embodiment is networked the method for distributed real-time analysis traffic, have employed distributed real time computation system and carry out data processing, utilize the computing machine of the number distribution respective numbers of the vehicle position information of distributed, the extendible performance of distributed real time computation system received by traffic control center, thus can be quick, accurate, stable analyze traffic, solve the explosive growth of the positional information provided along with vehicle in prior art, the problem of the acquisition traffic that single computer can not be timely, stable.
The system that the embodiment of the present invention also provides a kind of car to network distributed real-time analysis traffic, this system comprises traffic control center and distributed real time computation system.Fig. 3 is the structural representation of distributed real time computation system in the embodiment of the present invention.Shown in Figure 3, distributed real time computation system comprises main controlled node (Nimbus), working node (Supervisor) and processing components, wherein:
Traffic control center, for being collected the positional information of vehicle by load balancing cluster, and the positional information of the vehicle collected generation Spout data source is put into distributed real time computation system, in the present embodiment, traffic control center adopts the Load-balancing Cluster of sing on web logic, reach load balancing by Weight-basedround-robin algorithm, thus cluster collects the positional information of vehicle fast.
Main controlled node, for receiving Spout data source, and carries out Resourse Distribute and task scheduling by zookeeper to Spout data source, gives the working node in described distributed real time computation system by the uniform distribution of Spout data source.
Working node, for receiving the described Spout data source that main controlled node distributes, runs the processing components to one's name managed in distributed real time computation system.
Processing components, for carrying out analyzing and processing to Spout data source, obtains traffic, and by traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.Road conditions in the present embodiment are issued Bolt and can as required the traffic of analysis acquisition are supplied to the third party with written form, graphic form or speech form or be kept at the database of traffic control center, can certainly be that the mode that in above-mentioned transmission form, arbitrary two kinds of forms are integrated is supplied to the third party or is kept at the database of traffic control center.
Here it should be noted that, the vehicle in the present embodiment comprises: positional information acquisition module, for being gathered the positional information of described vehicle by Beidou satellite navigation system or GPS GPS; Communication module, for sending to traffic control center by described vehicle position information by 4G, 3G, GPRS or cdma network; The positional information of vehicle comprises the longitude and latitude of described vehicle, speed, direction, acceleration, sea level elevation.
The car provided in the present embodiment is networked the system of distributed real-time analysis traffic, have employed distributed real time computation system and carry out data processing, utilize the performances such as the low delay of distributed real time computation system, high-performance, distributed, easily extensible, can be quick, accurate, stable analyze traffic, solve the explosive growth of the positional information provided along with vehicle in prior art, the problem of acquisition traffic that can not be timely, stable.
Below that car that further embodiment of this invention provides is networked the system of distributed real-time analysis traffic.This system comprises traffic control center and distributed real time computation system, and distributed real time computation system comprises main controlled node, working node and processing components, wherein:
Traffic control center, for being collected the positional information of vehicle by load balancing cluster, and puts into distributed real time computation system by the positional information of the vehicle collected generation Spout data source;
Main controlled node, for receiving Spout data source, and carries out Resourse Distribute and task scheduling by zookeeper to Spout data source, gives the working node in described distributed real time computation system by the uniform distribution of Spout data source.
Working node, for receiving the described Spout data source that main controlled node distributes, runs the processing components to one's name managed in distributed real time computation system.
Processing components, for carrying out analyzing and processing to Spout data source, obtains traffic, and by described traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.Particularly, processing components comprises Spout assembly further, section classification Bolt, road condition analyzing Bolt, road conditions issue Bolt, wherein: Spout assembly, for reading Spout data source, and Spout data source is converted to Bolt source data, here Spout assembly refers to the assembly producing source traffic in a topology, Bolt refers to and accept the assembly that then data perform process in a topology, Topology is the real-time application run in distributed real time computation system, because the message flow of each inter-module forms a topological structure in logic.Section classification Bolt, for analyzing the road section information at described vehicle place according to the positional information of the described vehicle comprised in described Bolt source data.Road condition analyzing Bolt, for the computing machine of how many distribution respective numbers according to described road section information, analyzes and obtains traffic.Road conditions issue Bolt, for by traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.
Here it should be noted that, the vehicle in the present embodiment comprises: positional information acquisition module, for being gathered the positional information of described vehicle by Beidou satellite navigation system or GPS GPS; Communication module, for sending to traffic control center by described vehicle position information by 4G, 3G, GPRS or cdma network; The positional information of vehicle comprises the longitude and latitude of described vehicle, speed, direction, acceleration and/or sea level elevation etc.
The network system of distributed real-time analysis traffic of the car provided in the present embodiment comprises section classification Bolt and road condition analyzing Bolt and make use of the distributed and extendible performance of distributed real time computation system, the computing machine of the number distribution respective numbers of the vehicle position information received by traffic control center carries out data processing, thus can be quick, accurate, stable analyze traffic, solve the explosive growth of the positional information provided along with vehicle in prior art, the problem of the acquisition traffic that single computer can not be timely, stable.
To sum up, car provided by the invention is networked the acquisition traffic that the method and system of distributed real-time analysis traffic can be quick, accurate, stable, overcome the increase along with vehicle in prior art, urban traffic control receive centre is also explosive growth to the positional information that vehicle provides, in car networking, the single computer of traffic control center is more and more not suitable with requirement, the defect of acquisition traffic that can not be timely, stable.
By reference to the accompanying drawings embodiments of the invention are described above; but the present invention is not limited to above-mentioned embodiment; above-mentioned embodiment is only schematic; instead of it is restrictive; those of ordinary skill in the art is under enlightenment of the present invention; do not departing under the ambit that present inventive concept and claim protect, also can make a lot of form, these all belong within protection of the present invention.
Claims (8)
1. car is networked a method for distributed real-time analysis traffic, it is characterized in that, comprising:
Traffic control center collects the positional information of vehicle by load balancing cluster, and the positional information of the described vehicle collected generation Spout data source is put into distributed real time computation system;
Main controlled node in described distributed real time computation system receives described Spout data source, and by zookeeper, Resourse Distribute and task scheduling are carried out to described Spout data source, give the working node in described distributed real time computation system by the uniform distribution of described Spout data source;
Described working node receives the described Spout data source that described main controlled node distributes, and runs the processing components to one's name managed in described distributed real time computation system, carries out analyzing and processing to described Spout data source, obtains traffic;
Described processing components by described traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.
2. car according to claim 1 is networked the method for distributed real-time analysis traffic, it is characterized in that, describedly carries out analyzing and processing to described Spout data source, obtains traffic and specifically comprises:
Described processing components reads described Spout data source, and described Spout data source is converted to Bolt source data;
Described processing components analyzes the road section information at described vehicle place according to the positional information of the vehicle comprised in described Bolt source data;
Described processing components, according to the computing machine of how many distribution respective numbers of described road section information, is analyzed and is obtained traffic.
3. car according to claim 1 is networked the method for distributed real-time analysis traffic, it is characterized in that, also comprised before described traffic control center collects the positional information of vehicle by load balancing cluster: described vehicle gathers the positional information of described vehicle by Beidou satellite navigation system or GPS GPS, and described vehicle position information is sent to traffic control center by 4G, 3G, GPRS or cdma network.
4. car according to claim 1 is networked the method for distributed real-time analysis traffic, and it is characterized in that, the positional information of described vehicle comprises the longitude and latitude of described vehicle, speed, direction, acceleration and/or sea level elevation.
5. car is networked a system for distributed real-time analysis traffic, and it is characterized in that, comprise traffic control center and distributed real time computation system, described distributed real time computation system comprises main controlled node, working node and processing components, wherein:
Described traffic control center, for being collected the positional information of vehicle by load balancing cluster, and puts into described distributed real time computation system by the positional information of the described vehicle collected generation Spout data source;
Described main controlled node, for receiving described Spout data source, and carries out Resourse Distribute and task scheduling by zookeeper to described Spout data source, gives the working node in described distributed real time computation system by the uniform distribution of described Spout data source;
Described working node, for receiving the described Spout data source that described main controlled node distributes, runs the processing components to one's name managed in described distributed real time computation system;
Described processing components, for carrying out analyzing and processing to described Spout data source, obtains traffic, and by described traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.
6. car according to claim 5 is networked the system of distributed real-time analysis traffic, it is characterized in that, described processing components comprises Spout assembly, the classification of road conditions section Bolt, road condition analyzing Bolt and road conditions issue Bolt, wherein:
Described Spout assembly, for reading described Spout data source, and is converted to Bolt source data by described Spout data source;
Described section classification Bolt, for analyzing the road section information at described vehicle place according to the positional information of the described vehicle comprised in described Bolt source data;
Described road condition analyzing Bolt, for the computing machine of how many distribution respective numbers according to described road section information, analyzes and obtains traffic;
Described road conditions issue Bolt, for by described traffic real-time update on the map of traffic control center or be saved in the database of traffic control center or provide interface to the third party.
7. car according to claim 5 is networked the system of distributed real-time analysis traffic, and it is characterized in that, described vehicle comprises:
Positional information acquisition module, for gathering the positional information of described vehicle by Beidou satellite navigation system or GPS GPS;
Communication module, for sending to traffic control center by described vehicle position information by 4G, 3G, GPRS or cdma network.
8. car according to claim 7 is networked the system of distributed real-time analysis traffic, and it is characterized in that, the positional information of described vehicle comprises the longitude and latitude of described vehicle, speed, direction, acceleration and/or sea level elevation.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105824618A (en) * | 2016-03-10 | 2016-08-03 | 浪潮软件集团有限公司 | Real-time message processing method for Storm |
| CN106126757A (en) * | 2016-08-28 | 2016-11-16 | 航天恒星科技有限公司 | A kind of service recommendation method based on Storm and system |
| WO2017114170A1 (en) * | 2015-12-29 | 2017-07-06 | 阿里巴巴集团控股有限公司 | Control method and device for real-time calculation tasks, and real-time calculation system using same |
| CN110197585A (en) * | 2019-04-29 | 2019-09-03 | 深圳市联和安业科技有限公司 | A kind of municipal intelligent traffic processing system and method based on TR-Min-Min algorithm |
| CN114078320A (en) * | 2020-08-13 | 2022-02-22 | 五齐光电科技有限公司 | Intelligent real-time road condition analysis and report system |
| CN115731712A (en) * | 2022-11-17 | 2023-03-03 | 云控智行科技有限公司 | Traffic scene event analysis method, device, system and equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101247273A (en) * | 2008-02-27 | 2008-08-20 | 北京航空航天大学 | Maintenance method of service cooperated node organization structure in distributed environment |
| CN103309903A (en) * | 2012-03-16 | 2013-09-18 | 刘龙 | Position search system and method based on cloud computing |
| CN103680143A (en) * | 2013-12-30 | 2014-03-26 | 北京世纪高通科技有限公司 | Traffic information processing method and device |
-
2014
- 2014-03-13 CN CN201410093507.6A patent/CN104916127B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101247273A (en) * | 2008-02-27 | 2008-08-20 | 北京航空航天大学 | Maintenance method of service cooperated node organization structure in distributed environment |
| CN103309903A (en) * | 2012-03-16 | 2013-09-18 | 刘龙 | Position search system and method based on cloud computing |
| CN103680143A (en) * | 2013-12-30 | 2014-03-26 | 北京世纪高通科技有限公司 | Traffic information processing method and device |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017114170A1 (en) * | 2015-12-29 | 2017-07-06 | 阿里巴巴集团控股有限公司 | Control method and device for real-time calculation tasks, and real-time calculation system using same |
| CN105824618A (en) * | 2016-03-10 | 2016-08-03 | 浪潮软件集团有限公司 | Real-time message processing method for Storm |
| CN106126757A (en) * | 2016-08-28 | 2016-11-16 | 航天恒星科技有限公司 | A kind of service recommendation method based on Storm and system |
| CN110197585A (en) * | 2019-04-29 | 2019-09-03 | 深圳市联和安业科技有限公司 | A kind of municipal intelligent traffic processing system and method based on TR-Min-Min algorithm |
| CN114078320A (en) * | 2020-08-13 | 2022-02-22 | 五齐光电科技有限公司 | Intelligent real-time road condition analysis and report system |
| CN115731712A (en) * | 2022-11-17 | 2023-03-03 | 云控智行科技有限公司 | Traffic scene event analysis method, device, system and equipment |
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|---|---|
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