Utilizing multi-source real data for traffic flow optimization in CTraf

Sofronova E.A., Diveev A.I., Kazaryan D.E., Konstantinov S.V., Daryina A.N., Seliverstov Y.A., Baskin L.A.
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The problem of optimal control of traffic flow in an urban road network is considered. The control is carried out by varying the duration of the working phases of traffic lights at controlled intersections. A description of the control system developed is given. The control system enables the use of three types of control: open-loop, feedback and manual. In feedback control, road infrastructure detectors, video cameras, inductive loop and radar detectors are used to determine the quantitative characteristics of current traffic flow state. The quantitative characteristics of the traffic flows are fed into a mathematical model of the traffic flow, implemented in the computer environment of an automatic traffic flow control system, in order to determine the moments for switching the working phases of the traffic lights. The model is a system of finite-difference recurrent equations and describes the change in traffic flow on each road section at each time step, based on retrived data on traffic flow characteristics in the network, capacity of maneuvers and flow distribution through alternative maneuvers at intersections. The model has scaling and aggregation properties. The structure of the model depends on the structure of the graph of the controlled road network. The number of nodes in the graph is equal to the number of road sections in the considered network. The simulation of traffic flow changes in real time makes it possible to optimally determine the duration of traffic light operating phases and to provide traffic flow control with feedback based on its current state. The system of automatic collection and processing of input data for the model is presented. In order to model the states of traffic flow in the network and to solve the problem of optimal traffic flow control, the CTraf software package has been developed, a brief description of which is given in the paper. An example of the solution of the optimal control problem of traffic flows on the basis of real data in the road network of Moscow is given.

Keywords: traffic flow control, optimal control, traffic flow simulation, evolutionary computation, heterogeneous data processing
Citation in English: Sofronova E.A., Diveev A.I., Kazaryan D.E., Konstantinov S.V., Daryina A.N., Seliverstov Y.A., Baskin L.A. Utilizing multi-source real data for traffic flow optimization in CTraf // Computer Research and Modeling, 2024, vol. 16, no. 1, pp. 147-159
Citation in English: Sofronova E.A., Diveev A.I., Kazaryan D.E., Konstantinov S.V., Daryina A.N., Seliverstov Y.A., Baskin L.A. Utilizing multi-source real data for traffic flow optimization in CTraf // Computer Research and Modeling, 2024, vol. 16, no. 1, pp. 147-159
DOI: 10.20537/2076-7633-2024-16-1-147-159
URL: http://crm-en.ics.org.ru/journal/article/3440/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.

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