survey

Traffic Efficiency Applications over Downtown Roads: A New Challenge for Intelligent Connected Vehicles

Authors:

Maram Bani Younes,

Azzedine BoukercheAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 53, Issue 5

Article No.: 102, Pages 1 - 30

https://doi.org/10.1145/3403952

Published: 28 September 2020 Publication History

Abstract

Vehicular network technology is frequently used to provide several services and applications for drivers on road networks. The proposed applications in the environment of road networks are classified into three main categories based on their functions: safety, traffic efficiency, and entertainment. The traffic efficiency services are designed to enhance the moving fluency and smoothness of traveling vehicles over the road network. The grid layout architecture of the downtown areas provides several routes toward any targeted destination. Moreover, since several conflicted traffic flows compete at the road intersections, many vehicles have to stop and wait for safe situations to pass the road intersection without coming into conflict with other vehicles. The traffic efficiency applications in this scenario are designed to select the most efficient path for vehicles traveling toward their targeted destination/destinations. Moreover, other applications aimed to decrease the queuing delay time for vehicles at road intersections. In this article, we review several recently proposed mechanisms that worked to enhance the fluency of traffic over downtown road networks and point to the expected future trends in this field.

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Index Terms

Traffic Efficiency Applications over Downtown Roads: A New Challenge for Intelligent Connected Vehicles
1. Networks
  1. Network types
    1. Ad hoc networks

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 53, Issue 5

September 2021

782 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3426973

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Albert Zomaya
University of Sydney, Austraila

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Publication History

Published: 28 September 2020

Accepted: 01 May 2020

Revised: 01 March 2020

Received: 01 September 2019

Published in CSUR Volume 53, Issue 5

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https://doi.org/10.1016/j.inffus.2024.102682
Kumari PSoni DAggarwal S(2024)Benzene: A critical review on measurement methodology, certified reference material, exposure limits with its impact on human health and mitigation strategiesEnvironmental Analysis Health and Toxicology10.5620/eaht.202401239:2(e2024012)Online publication date: 5-Apr-2024
https://doi.org/10.5620/eaht.2024012
Shatnawi MBani Younes M(2024)An Enhanced Model for Detecting and Classifying Emergency Vehicles Using a Generative Adversarial Network (GAN)Vehicles10.3390/vehicles60300536:3(1114-1139)Online publication date: 29-Jun-2024
https://doi.org/10.3390/vehicles6030053
Shao YHou TSun RCheng YFan YHu XPan B(2024)Revisiting Left-Turn Waiting Areas: Optimizing Left-Turn Signal Timing to Eliminate Twice Startup, Reduce Emissions, and Improve Traffic EfficiencyIEEE Access10.1109/ACCESS.2024.345337512(127086-127099)Online publication date: 2024
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Mirzahossein HNajafi P(2024)Enhancing transportation accessibility: evaluating the impact of route guidance systems and connected autonomous vehiclesTransportation Research Interdisciplinary Perspectives10.1016/j.trip.2024.10117226(101172)Online publication date: Jul-2024
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Manaseer MYounes M(2023)Secure Protocols in VANETs: Availability Considerations*2023 14th International Conference on Information and Communication Systems (ICICS)10.1109/ICICS60529.2023.10330450(1-6)Online publication date: 21-Nov-2023
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Sai Manasa RMadhu JSufiyanuddin MMounica P(2023)Smart Traffic Signal Management System2023 IEEE 8th International Conference for Convergence in Technology (I2CT)10.1109/I2CT57861.2023.10126180(1-6)Online publication date: 7-Apr-2023
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Deng XWang LGui JJiang PChen XZeng FWan S(2023)A review of 6G autonomous intelligent transportation systemsJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2023.102929142:COnline publication date: 1-Sep-2023
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Liu XZhang ZMiwa TCao P(2022)Estimating Freeway Lane-Level Traffic State with Intelligent Connected VehiclesTransportation Research Record: Journal of the Transportation Research Board10.1177/036119812210983952677:1(60-75)Online publication date: 23-Jun-2022
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