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Massachusetts Institute of Technology

Assessment framework for wireless V2V communication-based ITS applications

Abstract

dc:description.abstract

Inter-vehicle communication enabled by wireless technology is an emerging area of Intelligent Transportation Systems (ITS). This technology has generated great interest among automobile manufacturers and ITS researchers alike because of its potential to improve safety and non-safety ITS applications by supporting data collection and dissemination at the individual vehicle level. A modelling framework based on a microscopic traffic simulator is presented in this thesis to explore the effects of wireless Vehicle-to-Vehicle (V2V) communication based ITS applications on traffic performance. Microscopic traffic simulators describe the interaction between drivers and infrastructure at individual vehicle level. The behaviour models in microscopic traffic simulators describe driving decisions like route choice, car-following and lane-changing. The existing behaviour model is extended to incorporate the effect of V2V communication based applications by tying information generated by the application to the behaviour model. A case study on a road network in Singapore with green light prediction application as the V2V communication application is implemented. The car-following model in MITSIMLab is modified to account for speed advisories generated by green light prediction application. The application shows gains in travel time savings and a smoother traffic flow as a result of the green light prediction. Higher improvements across penetration rates were observed at high demand levels. The incremental impact of the application on traffic performance tapers off at higher penetration rates. Drivers responding to the speed advisories also affect vehicles immediately following them. Hence the effective penetration rate of the application is higher than actual penetration rate. The results imply that the green light prediction application would reduce the average number of halts per trip by approximately 10% at existing travel demand. The current model can be extended to test other V2V based ITS applications and to couple with a wireless network simulator to represent wireless data flows more realistically.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rajiwade, Swapnil Shankar
Advisor dc:contributor.advisor
  • Moshe E. Ben-Akiva.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/70767
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/70767

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Rajiwade, Swapnil Shankar. Assessment framework for wireless V2V communication-based ITS applications. Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/70767