Engineering Commons^™

Relationship Between Road Network Characteristics And Traffic Safety, Hatim Sharif, Samer Dessouky

Data

Corresponding data set for Tran-SET Project No. 17ITSTSA01. Abstract of the final report is stated below for reference:

"The Transportation and Capital Improvement of the City of San Antonio, Texas Department of Transportation (TxDOT) and other related agencies often make several efforts based on traffic data to improve safety at intersections, but the number of intersection crashes is still on the high side. There is no one size fits all solution for intersections and the City is often usually confronted with doing best value option analysis on different solutions to choose the least expensive yet more advancements. The goal of …

Relationship Between Road Network Characteristics And Traffic Safety, Hatim Sharif, Samer Dessouky

Publications

The Transportation and Capital Improvement of the City of San Antonio, Texas Department of Transportation (TxDOT) and other related agencies often make several efforts based on traffic data to improve safety at intersections, but the number of intersection crashes is still on the high side. There is no one size fits all solution for intersections and the City is often usually confronted with doing best value option analysis on different solutions to choose the least expensive yet more advancements. The goal of this project was to obtain the relationship between road network characteristics and public safety with a focus on …

Crash/Near-Crash: Impact Of Secondary Tasks And Real-Time Detection Of Distracted Driving, Peter Ramzy Zaki Bakhit

LSU Doctoral Dissertations

The main goal of this dissertation is to investigate the problem of distracted driving from two different perspectives. First, the identification of possible sources of distraction and their associated crash/near-crash risk. That can assist government officials toward more informed decision-making process, allowing for optimized allocation of available resources to reduce roadway crashes and improve traffic safety. Second, actively counteracting the distracted driving phenomenon by quantitative evaluation of eye glance patterns.

This dissertation research consists of two different parts. The first part provides an in-depth analysis for the increased crash/near-crash risk associated with different secondary task activities using the largest real-world …