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Traffic simulation of connected and autonomous freight vehicles to increase traffic throughput via road tunnel networks
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Bhargava, Kushagra, Higgins, Matthew D., Choy, Kum Wah and Jennings, Paul A. (2020) Traffic simulation of connected and autonomous freight vehicles to increase traffic throughput via road tunnel networks. In: 2020 IEEE 91st Vehicular Technology Conference (VTC Spring), Antwerp, Belgium, 25-28 May 2020 pp. 1-5. ISBN 9781728140537. ISSN 2577-2465. doi:10.1109/vtc2020-spring48590.2020.9128697
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WRAP-traffic-simulation-connected-autonomous-freight-vehicles-increase-traffic-throughput-road-tunnel-networks-Bhargava-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1315Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/vtc2020-spring48590.2020...
Abstract
This paper simulates traffic at the Dartford-Thurrock Crossing Tunnel, Kent, UK. Using a traffic simulation model, Connected and Autonomous Freight Vehicles (CAV-F) are simulated alongside conventional light goods vehicles, to determine the feasibility of increasing the traffic throughput at the tunnel. The results show that with the use of CAV-F, the overall traffic flow is increased by --33% from current flow of --5,000 vehicles/hr. With the reduction in the headway and standstill distance and increase in scope of intelligent connectivity and traffic speed limit, the average congestion and travel time are reduced even at a higher traffic concentration. By analysing the results, it has thus been possible to highlight the benefits to traffic management and road utilisation by introducing CAV-F into our road network, in the long term.
| Item Type: | Conference Item (Paper) | |||||||||
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| Subjects: | H Social Sciences > HE Transportation and Communications T Technology > TA Engineering (General). Civil engineering (General) T Technology > TE Highway engineering. Roads and pavements T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
| Library of Congress Subject Headings (LCSH): | Intelligent transportation systems , Automobiles -- Automatic control, Automated vehicles , Trucking -- Simulation methods, Tunnels , Traffic engineering , Traffic flow | |||||||||
| Publisher: | IEEE | |||||||||
| ISBN: | 9781728140537 | |||||||||
| ISSN: | 2577-2465 | |||||||||
| Book Title: | 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) | |||||||||
| Official Date: | 30 June 2020 | |||||||||
| Dates: |
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| Date of first compliant deposit: | 27 October 2020 | |||||||||
| Page Range: | pp. 1-5 | |||||||||
| DOI: | 10.1109/vtc2020-spring48590.2020.9128697 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | |||||||||
| Title of Event: | 2020 IEEE 91st Vehicular Technology Conference (VTC Spring) | |||||||||
| Type of Event: | Conference | |||||||||
| Location of Event: | Antwerp, Belgium | |||||||||
| Date(s) of Event: | 25-28 May 2020 | |||||||||
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