A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles
A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles
复制标题
城市联网车辆实时路线的混合自动规划方法
DOI：
10.1109/itsc48978.2021.9564838
复制
发表时间：
2021
期刊：
影响因子：
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通讯作者：
L. Chrpa
中科院分区：
文献类型：
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作者：
M. Vallati;Enrico Scala;L. Chrpa
城市道路交通管理者面临的关键挑战之一是有效利用交通基础设施，这是城市化不断发展、网络容量有限以及道路车辆数量不断增加的结果。互联自动驾驶汽车（CAV）的到来为城市交通的根本性变革提供了一个独特的机会，城市交通控制应该在将CAV整合到移动生态系统中以实现利益最大化方面发挥积极作用。将CAV应用于城市交通控制的一个现实途径是建立一种智能控制机制，在控制区域内分配交通。在这种情况下，自动规划，一个研究得很好的人工智能主题，可以提供动态生成计划来分配流量的技术-从而最大限度地提高网络利用率并减少拥塞。在本文中，我们提出了一种基于混合离散连续规划的方法，我们证明了它的影响，使用真实世界的历史数据的一个大的英国城镇。
One of the pivotal challenges presented to urban road traffic controllers is the effective utilisation of transport infrastructure, as a result of growing urbanisation, the finite network capacity, and of the increasing number of road vehicles. The arrival of connected autonomous vehicles (CAVs) represents a unique opportunity for a fundamental change in urban mobility, and urban traffic control should take an active role in integrating CAVs into the mobility ecosystem in order to maximise benefits. A practical way to exploit CAVs for urban traffic control is to build an intelligent control mechanism that can distribute traffic in the controlled region. In this context, automated planning, a well-studied Artificial Intelligence topic, can provide techniques to dynamically generate plans to distribute traffic -thus maximising the network utilisation and reduce congestion. In this paper, we present an approach based on hybrid discrete continuous planning, and we demonstrate its impact using real-world historical data of a large UK town.