Assessing temporary traffic management measures on a motorway: Lane closures vs narrow lanes for connected and autonomous vehicles in roadworks

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Intelligent Transport Systems Pub Date : 2024-03-08 DOI:10.1049/itr2.12503
Mohit Kumar Singh, Nicolette Formosa, Cheuk Ki Man, Craig Morton, Cansu Bahar Masera, Mohammed Quddus
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Abstract

Connected and automated vehicles (CAVs) are being developed and designed to operate on existing roads. Their safe and efficient operation during roadworks, where traffic management measures are often introduced, is crucial. Two alternative measures are commonly applied during roadworks on motorways: (i) closing one or multiple lanes (ii) narrowing one or all lanes. The former can cause delays and increased emissions, while the latter can pose safety risks. This study uses a VISSIM-based traffic microsimulation to compare the effectiveness of these two strategies on traffic efficiency and safety, considering various market penetration rates (MPR) of CAVs. The model was calibrated and validated with the data collected from M1 motorway in the United Kingdom. Results show that average delays per vehicle-kilometre-travelled decreased from 102.7 to 2.5 s (with lane closure) and 23.6 to 0.6 s (with narrow lanes) with 0% and 100% CAV MPR, respectively. Moreover, safety in narrow lanes improved by 4.8 times compared to 1.5 times improvement in lane closure with a 100% CAV MPR; indicating that narrow lanes would result in better safety performance. These findings could assist transport authorities in designing temporary traffic management measure that results in better CAV performance when navigating through roadworks.

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评估高速公路上的临时交通管理措施:在道路施工中为联网和自动驾驶车辆关闭车道与狭窄车道
互联和自动驾驶车辆(CAV)正在开发和设计中,以便在现有道路上运行。它们在道路施工期间的安全和高效运行至关重要,因为施工期间通常会引入交通管理措施。在高速公路道路施工期间,通常会采用两种替代措施:(i)关闭一条或多条车道(ii)缩小一条或所有车道。前者会导致延误和排放增加,后者则会带来安全风险。本研究使用基于 VISSIM 的交通微观模拟来比较这两种策略对交通效率和安全的影响,同时考虑到 CAV 的不同市场渗透率(MPR)。该模型利用从英国 M1 高速公路收集的数据进行了校准和验证。结果表明,在 CAV MPR 为 0% 和 100% 的情况下,每辆车每公里行驶的平均延误时间分别从 102.7 秒降至 2.5 秒(关闭车道)和 23.6 秒降至 0.6 秒(窄车道)。此外,在 100% CAV MPR 的情况下,窄车道的安全性能提高了 4.8 倍,而关闭车道的安全性能提高了 1.5 倍;这表明窄车道将带来更好的安全性能。这些研究结果有助于交通管理部门设计临时交通管理措施,使 CAV 在通过道路工程时具有更好的性能。
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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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