智能车辆分布式路径对城市交通的影响

2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI:10.1109/ISC2.2018.8656941

Lama Alfaseeh, Shadi Djavadian, B. Farooq

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引用次数: 15

摘要

以城市道路为研究对象，研究了不同市场渗透率和拥堵程度下的分布式动态路由对城市道路交通的影响。对多伦多市中心网络进行了基于智能体的交通仿真研究。自动驾驶汽车的mpr越高(特别是在高度拥挤的城市网络中)，平均速度就越高，平均行驶时间就越短，吞吐量就越高。

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Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic

The impact of distributed dynamic routing with different market penetration rates (MPRs) of connected autonomous vehicles (CAVs) and congestion levels has been investigated on urban streets. Downtown Toronto network is studied in an agent-based traffic simulation. The higher the MPRs of CAVs–especially in the case of highly congested urban networks–the higher the average speed, the lower the mean travel time, and the higher the throughput.

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2018 IEEE International Smart Cities Conference (ISC2)

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