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Pedestrian-Safety-Aware Traffic Light Control Strategy for Urban Traffic Congestion Alleviation

机译:行人安全意识的交通灯控制策略,用于城市交通拥堵缓解

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摘要

Conflicts between pedestrians and vehicles are one of the common safety issues at signalized intersections. Pedestrian Flashing GREEN (FG), a time interval for pedestrians on crosswalks to safely finish crossing before the next phase occurs, may fail to clear the crosswalk in the allotted time, due to significant pedestrian non-compliant behavior. In this manner, probability of pedestrian-vehicle exposures increases when non-compatible vehicle flows are released at the next immediate phase. This paper seeks to address this issue by presenting a traffic signal control strategy for urban traffic networks that aims to minimize vehicle traveling delay (increase efficiency) as well as pedestrian crossing risk (increase safety). First, a macroscopic model for pedestrian-vehicle mixed-flow networks is proposed. Considering the high-incidence rate of pedestrian violations during FG, an additional Dynamic All RED (DAR) phase is introduced at the end of each FG period, whose duration is adaptively adjusted according to the number of non-compliant pedestrians. With computational complexity being a concern for our model, an evolutionary algorithm with repairing mechanism (EARM), is proposed to solve our problem. Case studies are provided to illustrate the potential impact of the pedestrian movement to the vehicle traffic networks when pedestrian safety is considered in the system, as well as the efficacy of our traffic light control strategy for pedestrians and vehicles on risk reduction.
机译:行人和车辆之间的冲突是信号交叉口的常见安全问题之一。行人闪烁绿色(FG),步行者对人行横道的时间间隔,在下一阶段发生之前安全地完成交叉,可能无法在规定的时间内未能清除人行横道,这是由于显着的行人不合规的行为。以这种方式,当在下一个立即阶段释放不兼容的车辆流量时,行人车曝光的概率增加。本文旨在通过为城市交通网络提供交通信号控制策略来解决此问题,该策略旨在最大限度地减少车辆行驶延迟(提高效率)以及行人过境风险(增加安全性)。首先,提出了一种用于行人 - 车辆混合流网络的宏观模型。考虑到FG期间行人违规的高发发生率,在每个FG期间的末端引入了额外的动态所有红色(DAR)阶段,其持续时间根据不合规行人的数量自适应调整。通过计算复杂性是我们模型的关注,提出了一种具有修复机制(EARM)的进化算法来解决我们的问题。提供案例研究以说明在系统中考虑行人安全性时,在系统中考虑行人安全性以及人行道和车辆的交通光控制策略对风险降低的效果,以说明行人运动对车辆交通网络的潜在影响。

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