The intersection traffic signal control is an essential means of urban traffic. To solve the problem of urban congestion, it is necessary to consider the optimal signal control strategy for intersections. Using the store-and-forward method of traffic control modeling, the in-queue vehicle number of the key signal phase as the payoff index, this paper designs an optimal intersection signal-timing strategy based on the game theory method. In this strategy, each key phase is regarded as a game player, and each player competes for the release time to maximize their own payoff and minimize the queue. To optimize the intersection efficiency, a game strategy is designed to achieve the Nash equilibrium state, which is the queueing equilibrium of each key phase. Finally, by VISSIM simulation, the total number of stops can be decreased by 5% to 10% compared with the MA-DD-DACC method.
To enlarge the green wave bandwidth between intersections of an artery and to design an effective green wave bandwidth, the conception of partitioned artery was proposed in this article. First, the artery was divided into sections systematically. After the calculation of the average volumes and intervals of the sections, two-way green wave optimization model of arteries based on division of artery was developed. Then, set constraint condition of public cycle by analyzing the relationship between cycle and delay, and the process of searching the bandwidth of partitioned green wave was proposed. Next, the bandwidth of partitioned green wave was optimized by the genetic algorithms with offset and public cycle as variables. Finally, simulation result shows the feasibility and effectiveness of proposed method based on the comparison and analysis of real data in Beijing.
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