Literature Database Entry

guo2018intelligent

Peng Guo, Mengdan Wang, Hui Rong and Wenyang Wang, "Intelligent Traffic Control Method for Emergency Vehicles Prioritization Based on DSRC Transportation System," SAE International, Technical Report, 2018-01-1644, August 2018.

Abstract

Emergency Vehicles (EmVs) prioritization is critical to be studied in view of the effectiveness of emergency delivery. Adaptive traffic lights can be employed based on DSRC (Dedicated Short Range Communication) system, as vehicle status and traffic lights information can be delivered to Road Side Unit (RSU). In other research work of manipulating traffic lights, only the EmVs are considered. Therefore there are still risks for non-EmVs due to insufficient time of braking. This paper provides an adaptive traffic light control method which takes into account of EmVs and non-EmVs on all the directions of lanes at the road section. In this control method, three operation modes of traffic light are proposed and the traffic light can be converted among three operation modes: Normal mode, Warning mode and Priority mode. Moreover, a collision prediction of upcoming non-EmVs on the orthogonal lane of EmVs in the junction is performed, which results in non-EmVs protection within predefined distance to guarantee the safe mobility of no-EmVs in the orthogonal direction. Afterwards, the traffic light enters into Warning mode to provide a warning and buffering time for upcoming drivers. Then traffic lights turn into Priority mode until emergency vehicle leaves the junction. Before the traffic lights are back to the Normal mode, Warning mode is carried out again to ensure sufficient braking time for following non-EmVs in case of change of traffic lights. In a summary, this adaptive traffic light control method not only protects EmVs, but also improves the safe mobility of non-EmVs. Finally simulation is carried out and the results show that this method can greatly improve the efficiency and safety for EmVs and non-EmVs and reduce the accident rate in the junction.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

Peng Guo
Mengdan Wang
Hui Rong
Wenyang Wang

BibTeX reference

@techreport{guo2018intelligent,
    author = {Guo, Peng and Wang, Mengdan and Rong, Hui and Wang, Wenyang},
    doi = {10.4271/2018-01-1644},
    title = {{Intelligent Traffic Control Method for Emergency Vehicles Prioritization Based on DSRC Transportation System}},
    institution = {SAE International},
    month = {8},
    number = {2018-01-1644},
    type = {Technical Report},
    year = {2018},
   }
   
   

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.