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Virginia Tech

Traffic Adaptive Offset-Based Preemption for Emergency Vehicles

Abstract

dc:description.abstract

This research analyzed and evaluated a new strategy for preemption of emergency vehicles along a corridor, which is route-based and adaptive to real-time traffic conditions. The method uses dynamic offsets which are adjusted using congestion levels to provide uninterrupted preempted green signal for the emergency vehicle throughout its route. By achieving a higher average emergency vehicle speed, this method promises faster emergency response which results in saving life and property as well as larger emergency service radius for the dispatch stations. The research evaluated the effectiveness of two possible algorithms for offset adjustment using measured vehicle queues. It is showed to reduce the emergency vehicle travel-time by 31 percent when compared to cases without preemption and 13 percent when compared to traditional method of individual-intersection preemption.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Civil Engineering
Department dc:contributor.department
Civil Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kamalanathsharma, Raj Kishore
Chair dc:contributor.committeechair
  • Hancock, Kathleen L.
Committee members dc:contributor.committeemember
  • Abbas, Montasir M.
  • Rakha, Hesham A.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-08122010-124251
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/34498

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Kamalanathsharma, Raj Kishore. Traffic Adaptive Offset-Based Preemption for Emergency Vehicles. masters thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/34498