Platooning Graph for Safer Traffic Management

Lakmal Muthugama, S. Karunasekera, E. Tanin
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引用次数: 3

Abstract

Each year, millions of people either die or get injured due to road incidents. Thus, integrating safety optimization techniques into future traffic systems is of utmost importance. Emerging connected vehicle technologies have enabled ways to manage traffic networks with optimization goals such as travel time efficiency, fuel efficiency. However, these existing studies have focused less on maximizing traffic safety. Increasing space between vehicles in the road network with an acceptable travel time increase will help to improve the safety of the system. We propose the Platooning Graph, which is capable of modelling the inter-vehicular spacing optimization problem and we provide a fast and readily deployable algorithm to find a good approximate solution. Using microscopic traffic simulations, we demonstrate how the proposed method can improve safety, with minimal impact on travel time.
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基于更安全交通管理的队列图
每年,数百万人因交通事故死亡或受伤。因此,将安全优化技术整合到未来的交通系统中至关重要。新兴的互联汽车技术使交通网络的管理方式能够实现优化目标,如出行时间效率、燃油效率等。然而,这些现有的研究很少关注最大限度地提高交通安全。增加道路网络中车辆之间的距离,增加可接受的行驶时间将有助于提高系统的安全性。我们提出了能够对车辆间距优化问题进行建模的队列图,并提供了一种快速且易于部署的算法来找到良好的近似解。通过微观交通模拟,我们证明了所提出的方法如何在对旅行时间影响最小的情况下提高安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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