CN109003459A - A kind of regional traffic signal control method and system based on layering stream calculation - Google Patents

A kind of regional traffic signal control method and system based on layering stream calculation Download PDF

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Publication number
CN109003459A
CN109003459A CN201810782946.6A CN201810782946A CN109003459A CN 109003459 A CN109003459 A CN 109003459A CN 201810782946 A CN201810782946 A CN 201810782946A CN 109003459 A CN109003459 A CN 109003459A
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traffic
data
class
stream calculation
layer
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CN109003459B (en
Inventor
陈松航
陈豪
王耀宗
张丹
王森林
张景欣
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Quanzhou Institute of Equipment Manufacturing
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Quanzhou Institute of Equipment Manufacturing
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/20Software design
    • G06F8/24Object-oriented
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/60Software deployment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/54Interprogram communication
    • G06F9/547Remote procedure calls [RPC]; Web services
    • G06F9/548Object oriented; Remote method invocation [RMI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0133Traffic data processing for classifying traffic situation
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications

Abstract

The present invention provides a kind of regional traffic signal control method based on layering stream calculation, comprising: 1, using open source stream calculation frame build the software architecture of regional traffic whistle control system;2, data interface tier is realized in stream calculation frame;3, data cleansing layer is realized in stream calculation frame;4, condition evaluation layer is realized in stream calculation frame;5, control optimization layer is realized in stream calculation frame;6, control instruction layer is realized in stream calculation frame;7, the data channel between each layering is established, according to actual data stream, each layer is sequentially connected to realize the function of regional traffic whistle control system, jar file is packaged into after the completion of local dry run, debugging;8, start server, packed jar file is submitted to give regional traffic whistle control system, after submitting successfully, regional traffic whistle control system starts to work the process designed according to user.The present invention has low latency, distribution, good characteristic highly fault tolerant.

Description

A kind of regional traffic signal control method and system based on layering stream calculation
Technical field
The present invention relates to field of intelligent transportation technology more particularly to a kind of regional traffic signal controls based on layering stream calculation Method and system processed.
Background technique
As one of the important development direction for alleviating urban traffic blocking, the control of regional traffic signal is intended to examine using vehicle It surveys on the basis of the traffic condition of device sensing region, series of computation, analysis and decision by regional traffic signal control algolithm, It is last main by networking road teleseme change signal lamp operation, realize the intervention and control to regional traffic.From 1963 Since first set point coordination induction control signal system occurs in Toronto city, constantly there is new regional traffic letter Number control system is suggested and is applied in actual traffic management and control, such as TRANSYT, SCOOT system of Britain, the big benefit of Australia Sub- SCATS system etc..
Regional traffic whistle control system not only pertains only to the control algolithm of traffic signals, but also including inherent number According to all too many levels and external human-computer interactions abundant such as communication, processing, for example including monitoring of tools, long-range control, flow point Analysis etc., or even need to interact with other intelligent transportation subsystems, it is a complexity, large-scale software systems.However, existing Regional traffic whistle control system study most autofocus control algorithm itself, have ignored the software performance of control system itself And the scalability and ease for maintenance of system.
A kind of " traffic signal control system building method and control system based on stream calculation " is disclosed in the prior art, See publication No. are as follows: 104882007 A of CN, date of publication are as follows: on 09 02nd, 2015 Chinese invention patent, the invention provide one Traffic signal control system building method and control system of the kind based on stream calculation, which comprises build for receiving, delaying The data access module of the data traffic signal sent by data acquisition module deposited and forwarded to distributed stream computing system Software development environment and design data AM access module;Build the distributed flowmeter for receiving and handling the data traffic signal The software environment of calculation system;Design the topology of distributed stream computing system;According to the Topology g eneration and to the distributed stream Each node of computing system submits JAR packet.Have in the patent:
(1) patent is to describe how to build traffic signal control system based on Storm stream calculation frame, and this patent Which kind of do not limit using stream calculation Computational frame (oneself can also realize a stream calculation frame);
(2) patent describes the composition of system by the way of module, and every kind of module is all stated in corresponding Storm Spout or Bolt, system are finally constituted the Topology in Storm;This patent carries out System describe, structure using stratified form It is apparent, it is easier to develop and safeguard, and be just able to achieve without specific technology, more versatility, two patents are to system Isolation it is different, also determine that implementation method and route are different;
(3) patent only focuses on the building method of traffic signal control system, is not related to specific signal control method (i.e. Specifically how to control traffic signals);This patent then pays close attention to building method and control method simultaneously, points out in control optimization layer Specific three generic operation.
Summary of the invention
One of the technical problem to be solved in the present invention is to provide a kind of regional traffic signal control based on layering stream calculation Method processed.
One of problem of the invention is achieved in that a kind of regional traffic signal controlling party based on layering stream calculation Method includes the following steps:
Step 1, the software architecture that regional traffic whistle control system is built using open source stream calculation frame;
Step 2 realizes data interface tier in stream calculation frame, is examined by network from road teleseme, the vehicle at scene It surveys in device or third party system and obtains traffic data;
Step 3 realizes data cleansing layer in stream calculation frame, to the dirty number in received different types of traffic data According to being cleaned;
Step 4 realizes condition evaluation layer in stream calculation frame, according to the traffic data after cleaning to different traffic zones State assessed;
Step 5 realizes control optimization layer in stream calculation frame, to controllable traffic signals equipment various in traffic zone Prioritization scheme is calculated;
Step 6 realizes control instruction layer in stream calculation frame, by controllable traffic signals equipment various in traffic zone Prioritization scheme is converted into corresponding device directive, and is handed down to corresponding controllable traffic signals equipment by network and is controlled;
Step 7, the data channel established between each layering are sequentially connected data interface tier, data according to actual data stream Cleaning layer, condition evaluation layer control optimization layer and control instruction layer to realize the function of regional traffic whistle control system, at this Simulation operation, is packaged into jar file after the completion of debugging;
Step 8, starting server, submit packed jar file to give regional traffic whistle control system, submit successfully Afterwards, regional traffic whistle control system starts to work the process designed according to user.
Further, in the step 1 increase income stream calculation frame using Storm, Spark Streaming or with The independently developed stream calculation platform of Java language.
Further, the step 2 specifically:
Using the data-interface Class A in written in Java data interface tier, using REST API, WebSockets and MQTT data communication technology is realized and is obtained from the road teleseme, wagon detector or third party system at scene by network Take the function of traffic data;Traffic data is obtained from different types of data source, the data-interface for needing corresponding realization different Concurrency is arranged according to multithreading according to the quantity of every class data source in Class A, every class data-interface Class A.
Further, the step 3 specifically:
Using the data cleansing Class B in written in Java data cleansing layer, realize to received different types of traffic Dirty data in data is cleaned, and the dirty data includes wrong data, redundant data, loses data and time point drift It moves;For different types of traffic data, data cleansing the Class B, every class data cleansing Class for needing corresponding realization different B includes a plurality of cleaning steps, and every class data cleansing Class B is arranged simultaneously according to the quantity of every class traffic data according to multithreading Hair degree.
Further, the step 4 specifically:
Using the condition evaluation Class C in written in Java condition evaluation layer, realize according to the traffic data pair after cleaning The state of different traffic zones is assessed;The traffic zone be it is artificial divide or according to rule generation, for difference Traffic zone, need it is corresponding realize different condition evaluation Class C, every class status assessment Class C is according to traffic zone Quantity according to multithreading be arranged concurrency.
Further, the step 5 specifically:
Optimize Class D using the control in written in Java control optimization layer, realizes to controllable friendships various in traffic zone The prioritization scheme of messenger equipment is calculated, which is specifically attributed to four generic operations: first is that utilizing biography in intersection The induction control algolithm of system shortens or extends the clearance time of a direction;Second is that being entered in intersection or ring road mouth according to downstream Traffic flow detecting device at mouthful judges whether congestion, to let pass or forbid some direction, to avoid downstream congestion;Third is that tide Nighttide lane, using flow threshold set switching law, when a direction the magnitude of traffic flow be more than given threshold after, tide lane to Its switch, make the direction can through lane increase;Fourth is that setting switching rule using queue length threshold value to variable guided vehicle road Then, after the queue length of a certain steering in intersection is more than given threshold, it can be changed guided vehicle road and switch to it, the direction is enable to be used Increase in lane;Wherein, it when optimizing control to tide lane and variable guided vehicle road using threshold value setting switching law, needs Be arranged covering all scenario threshold value setting switching law, avoid the occurrence of controllable traffic signals equipment it is random can according to situation, And switch every time all and preferably must be held in the time of setting, in order to avoid frequent switching;For different types of controllable traffic signals Equipment, needs the control optimization Class D that corresponding realization is different, and every class control optimizes Class D and believed according to the controllable traffic of every class Concurrency is arranged according to multithreading in the quantity of number equipment.
Further, the step 6 specifically:
Using the control instruction Class E in written in Java control instruction layer, controllable traffic various in traffic zone are believed The prioritization scheme of number equipment is converted into corresponding device directive, and is handed down to corresponding controllable traffic using corresponding communication modes Signalling arrangement is controlled;For different types of controllable traffic signals equipment, the control instruction for needing corresponding realization different Class E, every class control instruction Class E are arranged according to the quantity of the controllable traffic signals equipment of every class according to multithreading concurrent Degree.
The second technical problem to be solved by the present invention is to provide a kind of regional traffic signal control based on layering stream calculation System processed.
The two of problem of the invention are achieved in that a kind of regional traffic signal control system based on layering stream calculation System, comprising:
Data interface tier: it is responsible for through network from the road teleseme, wagon detector or third party system at scene Obtain traffic data;
Data cleansing layer: it is responsible for cleaning the dirty data in received different types of traffic data;
Condition evaluation layer: it is responsible for being assessed according to state of the traffic data after cleaning to different traffic zones;
Control optimization layer: it is responsible for calculating the prioritization scheme of controllable traffic signals equipment various in traffic zone;
Control instruction layer: it is responsible for for the prioritization scheme of controllable traffic signals equipment various in traffic zone being converted into corresponding Device directive, and corresponding controllable traffic signals equipment is handed down to by network.
The present invention has the advantages that the present invention is to ensure software system using clearly layered structure on the basis of stream calculation System has good maintainability, and different data processing algorithm and signal control can be updated for actual demand dynamic and is calculated Method, system have low latency, distribution, good characteristic highly fault tolerant.
Detailed description of the invention
The present invention is further illustrated in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is a kind of execution flow chart of the regional traffic signal control method based on layering stream calculation of the present invention.
Fig. 2 is that figure is moved towards in a kind of data control of the regional traffic signal control method based on layering stream calculation of the present invention.
Specific embodiment
To be clearer and more comprehensible the present invention, now with a preferred embodiment, and attached drawing is cooperated to be described in detail below.
The basic principle of regional traffic signal control is passed through using on the basis of the traffic condition of wagon detector sensing region Series of computation, the analysis and decision of regional traffic signal control algolithm are crossed, the last main networking road teleseme that passes through changes Signal lamp operation, realizes the intervention and control to regional traffic.
Therefore, as shown in Fig. 2, the present invention by regional traffic whistle control system be divided into data interface tier, data cleansing layer, Condition evaluation layer, control five parts such as optimization layer and control instruction layer, in which:
1) data interface tier: it is responsible for obtaining the friendship detected from road teleseme, the wagon detector at scene by network Logical data, or carried out in real time with third party system (such as taxi, bus monitoring system, electronic police, bayonet system) Interaction obtains traffic data.
2) data cleansing layer: it is responsible for cleaning the dirty data in received different types of traffic data.In practice, Because, often there is certain dirty data in the reasons such as construction quality, detection device failure, detection environmental abnormality, network failure, It specifically includes that wrong data, redundant data, lose data and time point drift.
3) condition evaluation layer: it is responsible for being assessed according to state of the traffic data after cleaning to different traffic zones, both It can be used as the effect that independent module estimation implements certain traffic management measure in practice, also can be used as region traffic control algorithm Input.
4) control optimization layer: be responsible for various controllable traffic signals equipment in decision traffic zone (such as intersection signal control device: Signal lamp, monitoring device: video detection, induction coil, microwave detection) prioritization scheme and calculated, can specifically be attributed to Three generic operations: first is that in intersection or ring road mouth, when letting pass or forbidding some direction, shortening or extend the clearance of a direction Between;Second is that tide lane is converted;Third is that variable guided vehicle road conversion.
5) control instruction layer: it is responsible for that various controllable traffic signals equipment in the calculated traffic zone of optimization layer will be controlled Prioritization scheme is converted to corresponding control instruction, is then sent to corresponding traffic signalization equipment by network and is controlled System.
As depicted in figs. 1 and 2, a kind of regional traffic signal control method based on layering stream calculation of the invention, including Following steps:
Step 1, the software architecture that regional traffic whistle control system is built using open source stream calculation frame;
Currently, the open source stream calculation frame of market maturation has Storm, Spark Streaming etc., can directly utilize, Can also be with self-developing, such as: use Java language self-developing stream calculation platform, the present invention in stream calculation frame using Storm, Spark Streaming or with the independently developed stream calculation platform of Java language.Without loss of generality, the present invention is to use It is illustrated for Java language self-developing stream calculation platform.
Step 2 realizes data interface tier in stream calculation frame, is examined by network from road teleseme, the vehicle at scene It surveys in device or third party system and obtains traffic data;
Using the data-interface Class A in written in Java data interface tier, using REST API, WebSockets and MQTT data communication technology is realized and is obtained from the road teleseme, wagon detector or third party system at scene by network The function for evidence of fetching, belongs to routine techniques realization rate, wherein REST API:REST is REpresentational State The abbreviation of Transfer can obtain data from any equipment for supporting HTTP request or system by the technology; WebSockets: being communication function most powerful in HTML5, it defines a full-duplex communication channel, only by Web One Socket can be communicated;MQTT:Message Queuing Telemetry Transport, i.e. message queue are distant Transmission is surveyed, is an instant communication protocol of IBM exploitation, it is possible to the important component as Internet of Things;From different type Data source obtain traffic data, need corresponding to realize different data-interface Class A, every class data-interface Class A root Concurrency is set according to multithreading according to the quantity of every class data source.
Step 3 realizes data cleansing layer in stream calculation frame, to the dirty number in received different types of traffic data According to being cleaned;
Using the data cleansing Class B in written in Java data cleansing layer, realize to received different types of traffic Dirty data in data is cleaned, and the dirty data includes wrong data, redundant data, loses data and time point drift It moves, this respect has had more available research achievement at present, such as the wrong data recognition methods based on threshold value, based on number According to the redundant data processing method of fusion, wrong data amendment and polishing method, rule-based time based on regression model Point drift processing method etc.;For different types of traffic data, the data cleansing Class B for needing corresponding realization different, often Class data cleansing Class B contains a plurality of cleaning steps, and every class data cleansing Class B is according to the number of every class traffic data Concurrency is arranged according to multithreading in amount.
Step 4 realizes condition evaluation layer in stream calculation frame, according to the traffic data after cleaning to different traffic zones State assessed;
Using the condition evaluation Class C in written in Java condition evaluation layer, realize according to the traffic data pair after cleaning The state of different traffic zones is assessed, and specific appraisal procedure can refer to national proposed standard GAT52722016 " road traffic Control mode signal part 2 prevailing state and control performance evaluation index and method ";The traffic zone be it is artificial divide or According to rule generation, for example, each intersection and its 1 kilometer range of surrounding are as an assessment area.For difference Traffic zone, need it is corresponding realize different condition evaluation Class C, every class status assessment Class C is according to traffic zone Quantity according to multithreading be arranged concurrency.
Step 5 realizes control optimization layer in stream calculation frame, to controllable traffic signals equipment various in traffic zone Prioritization scheme is calculated;
Optimize Class D using the control in written in Java control optimization layer, realizes to controllable friendships various in traffic zone The prioritization scheme of messenger equipment is calculated, which is specifically attributed to four generic operations: first is that utilizing biography in intersection The induction control algolithm of system shortens or extends the clearance time of a direction;Second is that being entered in intersection or ring road mouth according to downstream Traffic flow detecting device at mouthful judges whether congestion, to let pass or forbid some direction, to avoid downstream congestion;Third is that tide Nighttide lane, using flow threshold set switching law, when a direction the magnitude of traffic flow be more than given threshold after, tide lane to Its switch, make the direction can through lane increase;Fourth is that setting switching rule using queue length threshold value to variable guided vehicle road Then, after the queue length of a certain steering in intersection is more than given threshold, it can be changed guided vehicle road and switch to it, the direction is enable to be used Increase in lane;Wherein, it when optimizing control to tide lane and variable guided vehicle road using threshold value setting switching law, needs Be arranged covering all scenario threshold value setting switching law, avoid the occurrence of controllable traffic signals equipment it is random can according to situation, And switch every time all and preferably must be held in the time of setting, in order to avoid frequent switching;For different types of controllable traffic signals Equipment, needs the control optimization Class D that corresponding realization is different, and every class control optimizes Class D and believed according to the controllable traffic of every class Concurrency is arranged according to multithreading in the quantity of number equipment.
Step 6 realizes control instruction layer in stream calculation frame, by controllable traffic signals equipment various in traffic zone Prioritization scheme is converted into corresponding device directive, and is issued using corresponding communication modes (such as fiber optic Ethernet, 4G/5G are netted) It is controlled to corresponding controllable traffic signals equipment;
Using the control instruction Class E in written in Java control instruction layer, controllable signals various in traffic zone are set Standby prioritization scheme is converted into corresponding device directive, and is handed down to corresponding controllable traffic signals equipment by network and is controlled System;For different types of controllable traffic signals equipment, the control instruction Class E that corresponding realization is different, every class control are needed Instruct Class E that concurrency is set according to multithreading according to the quantity of every class traffic signals equipment.
Step 7 establishes data channel between each layering;
On the basis of step 2-6, according to actual data stream, all kinds of Class A-Class E are sequentially connected to realize area The function of domain traffic signal control system is packaged into jar file after the completion of local dry run, debugging.
Step 8, starting server, submit packed jar file to give regional traffic whistle control system;
In this step, start the Java context of server first, be then packaged using the submission of Java order line script Good jar file, submission process is also the upper line process of regional traffic whistle control system, (is submitted successfully once completing to submit Afterwards), regional traffic whistle control system starts to work the process designed according to user.
Although specific embodiments of the present invention have been described above, those familiar with the art should be managed Solution, we are merely exemplary described specific embodiment, rather than for the restriction to the scope of the present invention, it is familiar with this The technical staff in field should be covered of the invention according to modification and variation equivalent made by spirit of the invention In scope of the claimed protection.

Claims (8)

1. a kind of regional traffic signal control method based on layering stream calculation, characterized by the following steps:
Step 1, the software architecture that regional traffic whistle control system is built using open source stream calculation frame;
Step 2 realizes data interface tier in stream calculation frame, road teleseme, wagon detector by network from scene Or traffic data is obtained in third party system;
Step 3, in stream calculation frame realize data cleansing layer, to the dirty data in received different types of traffic data into Row cleaning;
Step 4 realizes condition evaluation layer in stream calculation frame, according to the traffic data after cleaning to the shape of different traffic zones State is assessed;
Step 5 realizes control optimization layer, the optimization to controllable traffic signals equipment various in traffic zone in stream calculation frame Scheme is calculated;
Step 6 realizes control instruction layer in stream calculation frame, by the optimization of controllable traffic signals equipment various in traffic zone Scheme is converted into corresponding device directive, and is handed down to corresponding controllable traffic signals equipment by network and is controlled;
Step 7, the data channel established between each layering are sequentially connected data interface tier, data cleansing according to actual data stream Layer, condition evaluation layer control optimization layer and control instruction layer to realize the function of regional traffic whistle control system, in local mould Quasi- operation, is packaged into jar file after the completion of debugging;
Step 8, starting server, submit packed jar file to give regional traffic whistle control system, after submitting successfully, area Domain traffic signal control system starts to work the process designed according to user.
2. a kind of regional traffic signal control method based on layering stream calculation as described in claim 1, it is characterised in that: institute Stream calculation frame of increasing income in step 1 is stated using Storm, Spark Streaming or with the independently developed stream of Java language Computing platform.
3. a kind of regional traffic signal control method based on layering stream calculation as described in claim 1, it is characterised in that: institute State step 2 specifically:
Using the data-interface Class A in written in Java data interface tier, REST API, WebSockets and MQTT number are utilized According to mechanics of communication, realizes and traffic is obtained from the road teleseme, wagon detector or third party system at scene by network The function of data;Traffic data is obtained from different types of data source, the data-interface Class A for needing corresponding realization different, Concurrency is arranged according to multithreading according to the quantity of every class data source in every class data-interface Class A.
4. a kind of regional traffic signal control method based on layering stream calculation as described in claim 1, it is characterised in that: institute State step 3 specifically:
Using the data cleansing Class B in written in Java data cleansing layer, realize to received different types of traffic data In dirty data cleaned, the dirty data includes wrong data, redundant data, loses data and time point drift;Needle To different types of traffic data, the data cleansing Class B for needing corresponding realization different, every class data cleansing Class B packet Containing a plurality of cleaning steps, every class data cleansing Class B is arranged according to the quantity of every class traffic data according to multithreading concurrent Degree.
5. a kind of regional traffic signal control method based on layering stream calculation as described in claim 1, it is characterised in that: institute State step 4 specifically:
Using the condition evaluation Class C in written in Java condition evaluation layer, realize according to the traffic data after cleaning to difference The state of traffic zone is assessed;The traffic zone be it is artificial divide or according to rule generation, for different friendships Logical region needs to correspond to and realizes different condition evaluation Class C, every class status assessment Class C according to the number of traffic zone Concurrency is arranged according to multithreading in amount.
6. a kind of regional traffic signal control method based on layering stream calculation as described in claim 1, it is characterised in that: institute State step 5 specifically:
Optimize Class D using the control in written in Java control optimization layer, realizes and controllable traffic various in traffic zone are believed The prioritization scheme of number equipment is calculated, which is specifically attributed to four generic operations: first is that in intersection using traditional Incude the clearance time that control algolithm shortens or extends a direction;Second is that in intersection or ring road mouth, at downstream entrance Traffic flow detecting device judge whether congestion, to let pass or forbid some direction, to avoid downstream congestion;Third is that tide vehicle Road sets switching law using flow threshold, and after the magnitude of traffic flow of a direction is more than given threshold, tide lane is cut to it Change, make the direction can through lane increase;Fourth is that switching law is set using queue length threshold value to variable guided vehicle road, when The queue length of a certain steering in intersection makes the direction that can use lane more than after given threshold, can be changed guided vehicle road to its switching Increase;Wherein, it when optimizing control to tide lane and variable guided vehicle road using threshold value setting switching law, needs to be arranged Cover all scenario threshold value set switching law, avoid the occurrence of controllable traffic signals equipment it is random can according to situation, and Switching all preferably must be held in the time of setting every time, in order to avoid frequent switching;For different types of controllable traffic signals equipment, The control optimization Class D that corresponding realization is different is needed, every class control optimization Class D is according to the controllable traffic signals equipment of every class Quantity according to multithreading be arranged concurrency.
7. a kind of regional traffic signal control method based on layering stream calculation as described in claim 1, it is characterised in that: institute State step 6 specifically:
Using the control instruction Class E in written in Java control instruction layer, controllable traffic signals various in traffic zone are set Standby prioritization scheme is converted into corresponding device directive, and is handed down to corresponding controllable traffic signals using corresponding communication modes Equipment is controlled;For different types of controllable traffic signals equipment, the control instruction Class for needing corresponding realization different Concurrency is arranged according to multithreading according to the quantity of the controllable traffic signals equipment of every class in E, every class control instruction Class E.
8. a kind of regional traffic whistle control system based on layering stream calculation, it is characterised in that: include:
Data interface tier: it is responsible for obtaining from the road teleseme, wagon detector or third party system at scene by network Traffic data;
Data cleansing layer: it is responsible for cleaning the dirty data in received different types of traffic data;
Condition evaluation layer: it is responsible for being assessed according to state of the traffic data after cleaning to different traffic zones;
Control optimization layer: it is responsible for calculating the prioritization scheme of controllable traffic signals equipment various in traffic zone;
Control instruction layer: it is responsible for the prioritization scheme of controllable traffic signals equipment various in traffic zone being converted into corresponding equipment Instruction, and corresponding controllable traffic signals equipment is handed down to by network.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111369816A (en) * 2019-11-29 2020-07-03 杭州海康威视系统技术有限公司 Variable guide lane passing direction control method and device, electronic equipment and system
CN113936477A (en) * 2021-09-06 2022-01-14 上海宝康电子控制工程有限公司 Signal timing control system and method
WO2022126492A1 (en) * 2020-12-15 2022-06-23 南京中诚签信息科技有限公司 Urban intelligent traffic management system based on cloud service

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003196788A (en) * 2001-12-28 2003-07-11 Mitsubishi Electric Corp Signal controller
CN101789182A (en) * 2010-02-05 2010-07-28 北京工业大学 Traffic signal control system and method based on parallel simulation technique
US20140278026A1 (en) * 2013-03-16 2014-09-18 Donald Warren Taylor Apparatus and system for monitoring and managing traffic flow
CN104637317A (en) * 2015-01-23 2015-05-20 同济大学 Intersection inductive signal control method based on real-time vehicle trajectory
CN105608758A (en) * 2015-12-17 2016-05-25 山东鲁能软件技术有限公司 Big data analysis platform apparatus and method based on algorithm configuration and distributed stream computing
CN106935040A (en) * 2017-04-05 2017-07-07 河海大学 The method of discrimination that a kind of intersection traffic lights are set

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003196788A (en) * 2001-12-28 2003-07-11 Mitsubishi Electric Corp Signal controller
CN101789182A (en) * 2010-02-05 2010-07-28 北京工业大学 Traffic signal control system and method based on parallel simulation technique
US20140278026A1 (en) * 2013-03-16 2014-09-18 Donald Warren Taylor Apparatus and system for monitoring and managing traffic flow
CN104637317A (en) * 2015-01-23 2015-05-20 同济大学 Intersection inductive signal control method based on real-time vehicle trajectory
CN105608758A (en) * 2015-12-17 2016-05-25 山东鲁能软件技术有限公司 Big data analysis platform apparatus and method based on algorithm configuration and distributed stream computing
CN106935040A (en) * 2017-04-05 2017-07-07 河海大学 The method of discrimination that a kind of intersection traffic lights are set

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
周为钢 等: ""智能交通大数据处理平台之构建"", 《中国公共安全》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111369816A (en) * 2019-11-29 2020-07-03 杭州海康威视系统技术有限公司 Variable guide lane passing direction control method and device, electronic equipment and system
WO2022126492A1 (en) * 2020-12-15 2022-06-23 南京中诚签信息科技有限公司 Urban intelligent traffic management system based on cloud service
CN113936477A (en) * 2021-09-06 2022-01-14 上海宝康电子控制工程有限公司 Signal timing control system and method

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