COALITION: CAVs-enabled Probabilistic Offloading of Congested Lanes for Reduced Urban Traffic Congestion

The number of vehicles in developed countries has grown more rapidly than available road capacity, resulting in increased congestion, air pollution, and more accidents. A recent UN report predicts that the increasing size of cities and levels of population mobility will mean 2.9 billion vehicles on...

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Published in:IEEE Vehicular Technology Conference pp. 1 - 7
Main Authors: Djahel, Soufiene, Hadjadj-Aoul, Yassine, Pincemin, Renan, Wu, Celimuge
Format: Conference Proceeding
Language:English
Published: IEEE 01.01.2023
Subjects:
Cognitive Radio
Probabilistic logic
Road Traffic Congestion
Roads
Simulation
Smart Cities
Smart Transportation
Sociology
Transportation
Urban areas
Vehicular and wireless technologies
ISSN:2577-2465
Online Access:Get full text
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Abstract The number of vehicles in developed countries has grown more rapidly than available road capacity, resulting in increased congestion, air pollution, and more accidents. A recent UN report predicts that the increasing size of cities and levels of population mobility will mean 2.9 billion vehicles on the road in cities alone by 2050. To mitigate the consequences of this increase without dramatically increasing the number of built roads, novel methods to better utilise existing road capacity are required. To that end, this paper introduces COALITION, a cognitive radio-enabled probabilistic offloading of congested lanes, as an innovative solution to efficiently handle traffic congestion in urban areas. This solution builds upon and improves the performance of our previous work, named CRITIC, and makes use of Electric Connected and Autonomous Vehicles (ECAVs) features to maximize the usage of road capacity through opportunistic exploitation of under-utilized reserved lanes while fostering the use of electric vehicles to support carbon neutral transportation objectives. Simulation results have proven the effectiveness of COALITION and its potential impact in real-world scenarios.
AbstractList The number of vehicles in developed countries has grown more rapidly than available road capacity, resulting in increased congestion, air pollution, and more accidents. A recent UN report predicts that the increasing size of cities and levels of population mobility will mean 2.9 billion vehicles on the road in cities alone by 2050. To mitigate the consequences of this increase without dramatically increasing the number of built roads, novel methods to better utilise existing road capacity are required. To that end, this paper introduces COALITION, a cognitive radio-enabled probabilistic offloading of congested lanes, as an innovative solution to efficiently handle traffic congestion in urban areas. This solution builds upon and improves the performance of our previous work, named CRITIC, and makes use of Electric Connected and Autonomous Vehicles (ECAVs) features to maximize the usage of road capacity through opportunistic exploitation of under-utilized reserved lanes while fostering the use of electric vehicles to support carbon neutral transportation objectives. Simulation results have proven the effectiveness of COALITION and its potential impact in real-world scenarios.
Author Hadjadj-Aoul, Yassine
Pincemin, Renan
Wu, Celimuge
Djahel, Soufiene
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  givenname: Soufiene
  surname: Djahel
  fullname: Djahel, Soufiene
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  givenname: Yassine
  surname: Hadjadj-Aoul
  fullname: Hadjadj-Aoul, Yassine
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  organization: University of Rennes,France
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  givenname: Renan
  surname: Pincemin
  fullname: Pincemin, Renan
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  organization: Telecom Physique Strasbourg,France
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  givenname: Celimuge
  surname: Wu
  fullname: Wu, Celimuge
  email: celimuge@uec.ac.jp
  organization: The University of Electro-Communications,Japan
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Snippet The number of vehicles in developed countries has grown more rapidly than available road capacity, resulting in increased congestion, air pollution, and more...
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SubjectTerms Cognitive Radio
Probabilistic logic
Road Traffic Congestion
Roads
Simulation
Smart Cities
Smart Transportation
Sociology
Transportation
Urban areas
Vehicular and wireless technologies
Title COALITION: CAVs-enabled Probabilistic Offloading of Congested Lanes for Reduced Urban Traffic Congestion
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