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01-Applied Mathematics & Information Sciences
An International Journal


Volumes > Volume 9 > No. 2L


Optimizing Signal Timing at Multiple Intersections under Oversaturation Conditions

PP: 431-437
Shaoxin Yuan, Xiangmo Zhao, Yisheng An,
In transportation networks, traffic conditions are often in an oversaturated state. In this case, by coordinating the signal timing at multiple intersections to improve the significant road bottleneck capacity is necessary. Urban roads have entry capacity and exit capacity affected by the signal timing at intersections and properties of left-turn lanes and straight lanes of roads. With the help of the discrete-time model, road entry capacity and exit capacity are formulated, and then the bottleneck road capacity under oversaturation conditions can be determined. Based on which, the objective function is to improve the significant bottleneck capacities and throughput of vehicles entering and leaving a special transportation network by using effective green times at multiple intersections as the decision variables, through applying the Ant Colony Algorithm to find an optimal signal-timing plan. The results of numerical example indicate this approach to optimizing the signal timing of multiple intersections is feasible and effective.

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