Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published January 2000

Fast Emergency Vehicle Preemption Systems

Abstract

In an automotive society that increasingly depends on cars, the National Police Agency is tackling the problem of operation support of emergency vehicles for incidents, accidents, and other emergency cases in order to manage traffic appropriately. This support of emergency vehicle operations is considered to be one of nine developing fields in Japan’s intelligent transportation systems. Recently, to deal with an increasing crime rate, a growing number of accidents, and problems with the elderly, more and more emergency vehicles are being dispatched. Against this background, it is indispensable for the police administration, as the manager of traffic and as an important instrument for maintaining peace and order, to help emergency vehicles in urgent situations reach the scene at the earliest possible moment and to prevent accidents during operations. Fast emergency preemption systems have a two-way communication function through the use of an infrared beacon, which is the key infrastructure of a traffic control system. Such a system supports the operation of emergency vehicles in a safe and effective manner by using route guidance and priority signal control; it also warns civilian vehicles about approaching emergency vehicles.

Get full access to this article

View all access and purchase options for this article.

References

1. Aoyama K. Next Generation Universal Traffic Management System (UTMS’21) in Japan. Proc., IEEE ITSC’97, Boston, Mass., 1997, p. 649.
2. Aoyama K. New Concept for a Universal Traffic Management System (UTMS). Proc., IVHS America Annual Meeting, Washington, D.C., 1993, p. 565.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published: January 2000
Issue published: January 2000

Rights and permissions

© 2000 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Shuetsu Shibuya
Traffic Bureau, Traffic Regulation Department, National Police Agency, 2-1-2 Kasumigaseki, Chiyoda-ku, Tokyo Met. 100-8974, Japan
Toshihiro Yoshida
Traffic Bureau, Traffic Regulation Department, National Police Agency, 2-1-2 Kasumigaseki, Chiyoda-ku, Tokyo Met. 100-8974, Japan
Zuiki Yamashiro
Traffic Bureau, Traffic Regulation Department, National Police Agency, 2-1-2 Kasumigaseki, Chiyoda-ku, Tokyo Met. 100-8974, Japan
Makoto Miyawaki
Traffic Bureau, Traffic Regulation Department, National Police Agency, 2-1-2 Kasumigaseki, Chiyoda-ku, Tokyo Met. 100-8974, Japan

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 55

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 9

  1. AI based emergency vehicle priority system
    Go to citation Crossref Google Scholar
  2. On the Impact Analysis of Emergency Vehicles Preemption on Signalized ...
    Go to citation Crossref Google Scholar
  3. Proposal of an integrated platoon‐based Round‐Robin algorithm with pri...
    Go to citation Crossref Google Scholar
  4. Emergency Vehicle Priority (Preemption): Concept and Advancements
    Go to citation Crossref Google Scholar
  5. Multi-agent deep neural networks coupled with LQF-MWM algorithm for tr...
    Go to citation Crossref Google Scholar
  6. Multi-agent preemptive longest queue first system to manage the crossi...
    Go to citation Crossref Google Scholar
  7. Route-Based Signal Preemption Control of Emergency Vehicle
    Go to citation Crossref Google Scholar
  8. Design and Implementation of an Emergency Vehicle Signal Preemption Sy...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub