Impact of Visibility Classification Schemes on Traffic Efficiency in Intelligent Freeway Management Systems A Mechanism for all-Weather Transportation Services with Vehicle-Road Coordination Technology

Ken Chen, Meng Zhang, Yong Tang, Jianxing Li, Yong Liu, Jun He
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Abstract

Visibility often has large impact on driving safety and speed, thus is an important factor to be considered in freeway management. In this article, we propose a methodology to evaluate the visibility and its impact on freeway transportation. We carefully examined the concept of visibility, and propose classification schemes and controlling mechanisms designed accordingly. Furthermore, we evaluate traffic efficiency as outcome of the schemes and likelihood of congestion by defining a Delay Index, modelling and simulating a few scenarios and benchmarking to big data statistics from China major cities. Results from our study show that with proper designed mechanisms, the overall efficiency and safety of the freeway transportation will be improved. Once applied to commercial systems and become fully operative in Vehicle-Road Coordination systems, transportation in all-weather conditions can be gradually achieved and will bring significant social and economic benefits.
基于车路协调技术的全天候交通服务机制研究
能见度对行车安全和车速的影响很大,是高速公路管理中需要考虑的重要因素。在本文中,我们提出了一种评估能见度及其对高速公路交通影响的方法。我们仔细研究了能见度的概念,并提出了相应的分类方案和控制机制。此外,我们通过定义延迟指数、建模和模拟几个场景以及对来自中国主要城市的大数据统计数据进行基准测试来评估交通效率作为方案的结果和拥堵的可能性。研究结果表明,通过合理的机制设计,可以提高高速公路交通的整体效率和安全性。一旦应用于商业系统,并在车路协调系统中全面运行,就可以逐步实现全天候运输,并将带来显著的社会效益和经济效益。
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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