Managing traffic evacuation with multiclass connected and autonomous vehicles
Managing traffic evacuation with multiclass connected and autonomous vehicles
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DOI：
10.1016/j.physa.2023.128985
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发表时间：
2023-06
期刊：
影响因子：
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通讯作者：
Jialin Liu;Zheng Liu;Bin Jia;Shi-Wen Zheng;Hao Ji
中科院分区：
文献类型：
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作者：
Jialin Liu;Zheng Liu;Bin Jia;Shi-Wen Zheng;Hao Ji
互联和自动驾驶汽车（CAV）为解决传统疏散模式的挑战提供了新的视角，例如对训练有素的人类驾驶员的需求，失控，拥堵和有限的道路容量。本文重点研究了多类交通疏散任务的管理私人CAV和公共交通CAV。首先，我们提出了一个具有移动瓶颈的多类细胞传输模型来模拟多类CAV。特别地，我们将道路网络离散成多尺寸的单元网络，以捕获两种类型的CAV之间的速度差异。将公交CAV视为移动瓶颈，在一定密度范围内线性降低道路通行能力。其次，我们建立了一个系统优化的协同疏散模型，以最小化疏散网络的通关时间或最小化疏散人员的总行程时间。约束条件包括多类机群规模、无信号交叉、装载多类CAV和非拦截。最后，我们进行了数值实验，以检验协同疏散模型。在疏散走廊上，结果表明，我们提出的模型可以捕捉多类交通动态和交通拥挤。在苏福尔斯网络中，我们使用完全混合的方法和基于车道的方法评估多类CAV的疏散效率。结果表明，在一定的疏散要求下，采用完全混合式疏散方式的疏散效率可能优于采用车道式疏散方式。多类CAV的协同可以转移拥挤，减少疏散时间。
Connected and autonomous vehicles (CAVs) provide a novel perspective to address challenges of traditional evacuation modes, such as the need for trained human drivers, out-of-control, congestion, and limited road capacity. This paper focuses on managing a multiclass traffic evacuation task of private CAVs and mass-transit CAVs. Firstly, we propose a multiclass cell transmission model with moving bottlenecks to model the multiclass CAVs. In particular, we discretize the road network into a multi-size cell network to capture the speed difference between two types of CAVs. The mass-transit CAVs are treated as moving bottlenecks, which can linearly reduce the road capacity in a certain density range. Secondly, we formulate a system optimum collaborative evacuation model to minimize the evacuation network clearance time or minimize the total travel time of evacuees. Constraints include multiclass fleet size, signal-free intersections, loading multiclass CAVs, and non-holding back. Finally, we conduct numerical experiments to test the collaborative evacuation model. On an evacuation corridor, the results show that our proposed model can capture multiclass traffic dynamics and traffic congestion. In the Sioux-Falls network, we evaluate the evacuation efficiency of multiclass CAVs using the fully mixed approach and the lane-based approach. The results indicate that the evacuation efficiency of using the fully mixed approach may be better than that of using the lane-based approach under certain evacuation demands. The cooperation of multiclass CAVs can transfer congestion and reduce evacuation time.