Assessing temporary traffic management measures on a motorway: lane closures vs narrow lanes for connected and autonomous vehicles in roadworks
Author(s)
Type
Journal Article
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.
Date Issued
2024-07-01
Date Acceptance
2024-02-22
Citation
IET Intelligent Transport Systems, 2024, 18 (7), pp.1210-1226
ISSN
1751-956X
Publisher
Wiley
Start Page
1210
End Page
1226
Journal / Book Title
IET Intelligent Transport Systems
Volume
18
Issue
7
Copyright Statement
© 2024 The Authors. IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. Check for updates
Identifier
10.1049/itr2.12503
Subjects
automated driving & intelligent vehicles
CONFLICTS
delays
Engineering
Engineering, Electrical & Electronic
road safety
Science & Technology
Technology
traffic management and control
transport modelling and microsimulation
Transportation
Transportation Science & Technology
VISSIM SIMULATION-MODEL
Publication Status
Published
Date Publish Online
2024-03-08