This paper proposes two algorithms for signal timing optimization of single intersections, namely, microbial genetic algorithm and simulated annealing algorithm. The basis of the optimization of these two algorithms is the original timing scheme of the SCATS, and the optimized parameters are the average delay of vehicles and the capacity. Experiments verify that these two algorithms are, respectively, improved by 67.47% and 46.88%, based on the original timing scheme.

中文翻译：

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基于多目标联合优化的城市交通信号控制

本文提出了两种单交叉口信号配时优化算法，即微生物遗传算法和模拟退火算法。这两种算法优化的基础是SCATS的原始计时方案，优化的参数是车辆的平均延误和容量。实验验证，这两种算法在原有时序方案的基础上分别提高了67.47%和46.88%。