Literature Database Entry

amer2018coalition


H. M. Amer, H. A. A. Al-Kashoash, A. Kemp, L. Mihaylova and M. Mayfield, "Coalition Game for Emergency Vehicles Re-Routing in Smart Cities," Proceedings of 10th Sensor Array and Multichannel Signal Processing Workshop (SAM 2018), Jul 2018, pp. 306–310.

Abstract

Traffic jam is considered as a difficult problem to deal with in many cities around the world due to the continuously increasing number of vehicles compared to the available infrastructure. Traffic congestion significantly influences drivers travel journey, fuel consumption and air pollution. However, the most important factor has affected the delay of emergency vehicles, such as ambulances and police cars, leading to increased road deaths and significant financial losses. To reduce this problem, we propose an advanced traffic control allows rapid emergency services response in smart cities. This can be achieved through a traffic management system capable of implementing path planning in road network monitoring and driving the emergency vehicle in the best possible way to reach the hazard zone. The performance of the proposed algorithm is compared with two other algorithms over Birmingham city centre test scenarios. Simulation results show that the proposed approach improves traffic efficiency of emergency vehicles by an overall average of 21.78\%, 29.32\%, 32.79\% and 46.77\% in terms of travel time, fuel consumption, CO2emission and average speed, respectively.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

H. M. Amer
H. A. A. Al-Kashoash
A. Kemp
L. Mihaylova
M. Mayfield

BibTeX reference

@inproceedings{amer2018coalition,
    author = {Amer, H. M. and Al-Kashoash, H. A. A. and Kemp, A. and Mihaylova, L. and Mayfield, M.},
    title = {{Coalition Game for Emergency Vehicles Re-Routing in Smart Cities}},
    booktitle = {10th Sensor Array and Multichannel Signal Processing Workshop (SAM 2018)},
    pages = {306{--}310},
    year = {2018},
    month = {Jul},
    publisher = {IEEE},
    doi = {10.1109/SAM.2018.8448582},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.