Smart Infrastructure for Future Urban Mobility

Smart Infrastructure for Future Urban Mobility
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未来城市交通的智能基础设施

DOI:
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发表时间:
2020
期刊:
The AI Magazine
影响因子:
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通讯作者:
Stephen F. Smith
Stephen F. Smith
中科院分区:
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文献类型:
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作者:
Stephen F. Smith

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实时交通信号控制提出了一个具有挑战性的多智能体规划问题,特别是在城市道路网络中,与简单的主干道环境不同,城市道路网络中存在着一天中不断变化的竞争性主导交通流。更复杂的是,城市环境需要关注以不同速度移动并可能被赋予不同优先级的多式联运交通流(车辆、行人、骑自行车的人、公共汽车)。在过去的几年里,我的研究小组一直在开发和完善实时、自适应交通信号控制系统来应对这些挑战,称为可扩展城市交通控制(Surtrac)。 Surtrac 结合了自动规划和调度、多智能体系统和交通理论的原理,将交通信号控制视为分散的在线规划过程。在操作中,每个交叉口重复生成并执行(以滚动地平线方式)信号配时计划,以优化当前感测到的通过交叉口的接近交通的移动。每次制定新计划(通常是每隔几秒),十字路口就会向其下游邻居传达其预期的交通流量,从而允许十字路口构建更长的视野计划并实现协调行为。 Surtrac 的现场初步评估显示出显着的性能改进,该技术现已在美国多个城市部署和运行。最近的工作重点是将实时自适应信号控制与新兴的互联车辆技术相集成,并探索直接车辆(或行人)与基础设施通信可以提供的增强移动性的机会。当前的技术开发工作集中在车辆路线共享、智能交通优先、残障行人安全交叉路口、实时事件检测以及信号控制和路线选择决策的综合优化。本文概述了整个研究工作。
Real-time traffic signal control presents a challenging multiagent planning pro­blem, particularly in urban road networks where, unlike simpler arterial settings, there are competing dominant traffic flows that shift through the day. Further complicating matters, urban environments require attention to multimodal traffic flows (vehicles, pedestrians, bicyclists, buses) that move at different speeds and may be given different priorities. For the past several years, my research group has been developing and refining a real-time, adaptive traffic signal control system to address these challenges, referred to as scalable urban traffic control (Surtrac). Combining principles from automated planning and scheduling, multiagent systems, and traffic theory, Surtrac treats traffic signal control as a decentralized online planning process. In operation, each intersection repeatedly generates and executes (in rolling horizon fashion) signal-timing plans that optimize the movement of currently sensed approaching traffic through the intersection. Each time a new plan is produced (nominally every couple of seconds), the intersection communicates to its downstream neighbors what traffic it expects to send their way, allowing intersections to construct longer horizon plans and achieve coordinated behavior. Initial evaluation of Surtrac in the field has demonstrated significant performance improvements, and the technology is now deployed and operating in several U.S. cities. More recent work has focused on integrating real-time adaptive signal control with emerging connected vehicle technology, and exploration of the opportunities for enhanced mobility that direct vehicle (or pedestrian) to infrastructure communication can provide. Current technology development efforts center on vehicle route sharing, smart transit priority, safe intersection crossing for pedestrians with disabilities, real-time incident detection, and integrated optimization of signal control and route choice decisions. This article provides an overview of this overall research effort.