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A Novel Decentralized Game-Theoretic Adaptive Traffic Signal Controller: Large-Scale Testing

机译：一种新型的分散博弈论自适应交通信号控制器：大规模测试

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This paper presents a novel de-centralized flexible phasing scheme, cycle-free, adaptive traffic signal controller using a Nash bargaining game-theoretic framework. The Nash bargaining algorithm optimizes the traffic signal timings at each signalized intersection by modeling each phase as a player in a game, where players cooperate to reach a mutually agreeable outcome. The controller is implemented and tested in the INTEGRATION microscopic traffic assignment and simulation software, comparing its performance to that of a traditional decentralized adaptive cycle length and phase split traffic signal controller and a centralized fully-coordinated adaptive phase split, cycle length, and offset optimization controller. The comparisons are conducted in the town of Blacksburg, Virginia (38 traffic signalized intersections) and in downtown Los Angeles, California (457 signalized intersections). The results for the downtown Blacksburg evaluation show significant network-wide efficiency improvements. Specifically, there is a 23.6% reduction in travel time, a 37.6% reduction in queue lengths, and a 10.4% reduction in CO2 emissions relative to traditional adaptive traffic signal controllers. In addition, the testing on the downtown Los Angeles network produces a 35.1% reduction in travel time on the intersection approaches, a 54.7% reduction in queue lengths, and a 10% reduction in CO2 emissions compared to traditional adaptive traffic signal controllers. The results demonstrate significant potential benefits of using the proposed controller over other state-of-the-art centralized and de-centralized adaptive traffic signal controllers on large-scale networks both during uncongested and congested conditions.
机译：本文提出了一种新颖的分散式灵活调相方案，采用纳什讨价还价博弈理论框架的无周期自适应交通信号控制器。纳什讨价还价算法通过将每个阶段建模为游戏中的玩家来优化每个信号交叉口的交通信号时刻，玩家在游戏中进行合作以达成双方同意的结果。该控制器在INTEGRATION微观交通分配和仿真软件中实现和测试，将其性能与传统的分散式自适应周期长度和相分离交通信号控制器的性能以及集中式完全协调的自适应相分离，周期长度和偏移优化相比较控制器。比较是在弗吉尼亚州布莱克斯堡镇（38个交通信号交叉口）和加利福尼亚州洛杉矶市区（457个信号交叉口）进行的。布莱克斯堡市中心的评估结果表明，整个网络的效率都有了显着提高。具体来说，有一个 23.6 < / mn> ％ 减少了旅行时间， 37.6 ％ 队列减少长度和 10.4 ％ 减少 CO 2 排放。此外，在洛杉矶市中心的网络上进行的测试还产生了 35.1 ％ 减少交叉路口的行进时间， 54.7 ％ 减少了队列长度，并且 10 ％ 减少.org / 1998 / Math / MathML“ id =” mm8“ overflow =” scroll“> CO 2 与传统自适应交通信号控制器相比的排放量。结果表明，在拥挤和拥挤的情况下，与大型网络上其他最新的集中式和分散式自适应交通信号控制器相比，使用建议的控制器具有显着的潜在优势。

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