Dissertation/Thesis Abstract

Predicting the Effects of Connected Vehicles on Safety Near Traffic Incident Scenes on Freeways
by Moradi Bajestani, Sima, M.S., Southern Illinois University at Edwardsville, 2019, 81; 13878412
Abstract (Summary)

Because traffic incidents create unexpected driving conditions, traffic safety issues can arise. In particular, unexpected traffic incidents could require drivers to decelerate rapidly, causing an unsafe situation. Because the emerging Connected Vehicle (CV) concept can enable sharing of real-time information and help drivers to change their driving path, lane or speed, CVs could avoid rapid decelerations caused by unexpected traffic incidents. This study evaluated the impacts of CVs on traffic safety and efficiency near traffic incidents. The researchers used VISSIM 8 to simulate a 17-mile segment of Interstate 55 in Southern Illinois, modeling 10 different incident scenarios which are varied in an incident location with different existing traffic conditions during the PM peak hour, number of blocked lanes and blockage duration. The researcher selected three main parameters to measure the effectiveness of CVs on safety and mobility: unsafe deceleration rate (UDR), travel time, and delay of vehicles approaching an incident scene.

The results from this study indicate that CVs have the potential to reduce the proportion of vehicles that rapidly-decelerate near incident scenes along a freeway. Reducing the number of vehicles that rapidly-decelerate is expected to reduce secondary crashes and improve safety. The results also suggested that CVs cause no significant increase in delay and travel time when they reduce speed near the incident scene. This study demonstrated that CVs have the potential to improve safety near traffic incident scenes without notably decreasing traffic flow.

The other outcome of this study was a developed plugin to model CVs on VISSIM environment. The results show that the plugins for CV operations will run notably faster if instead of checking all the vehicles at the network, just check the vehicles located at incident zone.

Indexing (document details)
Advisor: Fries, Ryan
Commitee: Qi, Yan, Zhou, Jianpeng
School: Southern Illinois University at Edwardsville
Department: Civil Engineering
School Location: United States -- Illinois
Source: MAI 58/06M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Civil engineering, Transportation
Keywords: Connected vehicle, Delay time, Secondary crashes, Travel time, Unsafe deceleration rate, VISSIM
Publication Number: 13878412
ISBN: 978-1-392-26916-9
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