Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks

Syed Rafiul Hussain; Ala Odeh; Amrut Shivakumar; Shalini Chauhan; Khaled Harfoush

doi:10.1109/HONET.2013.6729791

Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks

Syed Rafiul Hussain
, Ala Odeh
, Amrut Shivakumar
, Shalini Chauhan
, Khaled Harfoush

School of Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

Traffic congestion is common in heavily populated cities. In this paper, we introduce a novel protocol to guide vehicles to their destinations while managing congestion and avoiding deadlock situations in urban city grids. The protocol relies on vehicle-to-infrastructure (V2I) communication, infrastructure-to-infrastructure (I2I) communication as well as GPS information to disseminate congestion information to city grid intersections. Our proposal pro-actively aims at avoiding congestion scenarios and reacts to arising congestion in case it happens due to unpredictable events such as collisions. Simulation results reveal that vehicles enjoy reduced travel times even during rush hours and in the presence of collisions.

Original language	English (US)
Title of host publication	2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013
Publisher	IEEE Computer Society
Pages	223-227
Number of pages	5
ISBN (Print)	9781479925698
DOIs	https://doi.org/10.1109/HONET.2013.6729791
State	Published - 2013
Event	10th International Conference on High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013 - Famagusta, Cyprus Duration: Dec 11 2013 → Dec 13 2013

Publication series

Name	2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013

Other

Other	10th International Conference on High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013
Country/Territory	Cyprus
City	Famagusta
Period	12/11/13 → 12/13/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1109/HONET.2013.6729791

Cite this

Hussain, S. R., Odeh, A., Shivakumar, A., Chauhan, S., & Harfoush, K. (2013). Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks. In 2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013 (pp. 223-227). Article 6729791 (2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013). IEEE Computer Society. https://doi.org/10.1109/HONET.2013.6729791

Hussain, Syed Rafiul ; Odeh, Ala ; Shivakumar, Amrut et al. / Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks. 2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013. IEEE Computer Society, 2013. pp. 223-227 (2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013).

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title = "Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks",

abstract = "Traffic congestion is common in heavily populated cities. In this paper, we introduce a novel protocol to guide vehicles to their destinations while managing congestion and avoiding deadlock situations in urban city grids. The protocol relies on vehicle-to-infrastructure (V2I) communication, infrastructure-to-infrastructure (I2I) communication as well as GPS information to disseminate congestion information to city grid intersections. Our proposal pro-actively aims at avoiding congestion scenarios and reacts to arising congestion in case it happens due to unpredictable events such as collisions. Simulation results reveal that vehicles enjoy reduced travel times even during rush hours and in the presence of collisions.",

author = "Hussain, \{Syed Rafiul\} and Ala Odeh and Amrut Shivakumar and Shalini Chauhan and Khaled Harfoush",

note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; 10th International Conference on High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013 ; Conference date: 11-12-2013 Through 13-12-2013",

year = "2013",

doi = "10.1109/HONET.2013.6729791",

language = "English (US)",

isbn = "9781479925698",

series = "2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013",

publisher = "IEEE Computer Society",

pages = "223--227",

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address = "United States",

}

Hussain, SR, Odeh, A, Shivakumar, A, Chauhan, S & Harfoush, K 2013, Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks. in 2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013., 6729791, 2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013, IEEE Computer Society, pp. 223-227, 10th International Conference on High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013, Famagusta, Cyprus, 12/11/13. https://doi.org/10.1109/HONET.2013.6729791

Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks. / Hussain, Syed Rafiul; Odeh, Ala; Shivakumar, Amrut et al.
2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013. IEEE Computer Society, 2013. p. 223-227 6729791 (2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks

AU - Hussain, Syed Rafiul

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AU - Shivakumar, Amrut

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N2 - Traffic congestion is common in heavily populated cities. In this paper, we introduce a novel protocol to guide vehicles to their destinations while managing congestion and avoiding deadlock situations in urban city grids. The protocol relies on vehicle-to-infrastructure (V2I) communication, infrastructure-to-infrastructure (I2I) communication as well as GPS information to disseminate congestion information to city grid intersections. Our proposal pro-actively aims at avoiding congestion scenarios and reacts to arising congestion in case it happens due to unpredictable events such as collisions. Simulation results reveal that vehicles enjoy reduced travel times even during rush hours and in the presence of collisions.

AB - Traffic congestion is common in heavily populated cities. In this paper, we introduce a novel protocol to guide vehicles to their destinations while managing congestion and avoiding deadlock situations in urban city grids. The protocol relies on vehicle-to-infrastructure (V2I) communication, infrastructure-to-infrastructure (I2I) communication as well as GPS information to disseminate congestion information to city grid intersections. Our proposal pro-actively aims at avoiding congestion scenarios and reacts to arising congestion in case it happens due to unpredictable events such as collisions. Simulation results reveal that vehicles enjoy reduced travel times even during rush hours and in the presence of collisions.

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M3 - Conference contribution

AN - SCOPUS:84894417790

SN - 9781479925698

T3 - 2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013

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BT - 2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013

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Hussain SR, Odeh A, Shivakumar A, Chauhan S, Harfoush K. Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks. In 2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013. IEEE Computer Society. 2013. p. 223-227. 6729791. (2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013). doi: 10.1109/HONET.2013.6729791

Real-time traffic congestion management and deadlock avoidance for vehicular ad Hoc networks

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this