Traffic lights at nearby intersections have a notable impact on the traffic flow. To ensure effective performance of the entire traffic system signal timing should be coordinated and synchronized. In this paper, the signal timing problem is considered as an optimal control problem. A universal recurrent traffic flow model is applied. The assumption is that information on the topology of road network, manoeuvre parameters, initial conditions, input flows, capacity constraints on road sections, and traffic light phase duration constraints is available. The mentioned parameters may be obtained from detectors of road infrastructure such as video cameras, loop and radio detectors and documentation. The objective is to develop an optimal traffic coordination plan for all monitored intersections within a specific time frame and minimizing a specified quality criterion. Coordination plan consists of ordered set of phases and their duration. The search space is big enough, so the problem is solved by evolutionary approach. The proposed optimization method is a variational genetic algorithm. The algorithm employs a principle of small variations of a basic solution to generate the population of possible solutions. Using this principle, we select a basic solution that is a current coordination plan. The set of codes that represent small variations of the basic solution are then used to determine all other feasible solutions. The proposed method is implemented to resolve the optimal control problem in an X-type intersection which experiences heavy traffic.
Signal Timing Optimization by VarGA: Case Study
2024 IEEE Intelligent Vehicles Symposium (IV) ; 3120-3125
2024-06-02
1128183 byte
Conference paper
Electronic Resource
English
Varga József élete és munkássága : (1891 - 1956)
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