Engineering Commons^™

An Evaluation Of Non-Intrusive Traffic Detectors At The Ntc/Ndor Detector Test Bed, Benjamin W. Grone

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Throughout the field of transportation engineering, decision makers require quality information. The information used in transportation operations, planning, and design is based, in part, on data from traffic detectors. The need for quality data has spurred innovations in data collection including the introduction of modern, commercially available, non-intrusive traffic detectors. As these new technologies become available, a need exists to understand their capabilities and limitations—especially limitations that are unique to a specific region.

This thesis examined the accuracy of four non-intrusive traffic detector technologies considered for potential data collection applications on Nebraska’s highways. The technologies evaluated included the Solo Pro …

Assessing The Risk Of Crash For Trucks On Onset Yellow, Anuj Sharma Ph.D., Nathaniel P. Burnett

Mid-America Transportation Center: Final Reports and Technical Briefs

Each day, millions of signal changes to the yellow phase occur at isolated high speed intersections, when erroneous driver decisions to stop or go may often lead to a crash. Dilemma zone protection systems are typically used to control these intersections in order to ensure the safe and efficient movement of vehicles. However, traditional dilemma zone protection systems show deterioration in performance during medium to heavy traffic volume conditions, jeopardizing both the safety and efficiency of intersections. The performance of these control systems for heavy vehicles is even more greatly affected, as traditional dilemma zone boundaries were developed for passenger …

Effect Of Freeway Level Of Service And Driver Education On Truck Driver Stress - Phase 1, Anuj Sharma Ph.D., Senem Velipasalar Ph.D., Sanjay Singh M.D., Dave Engel B.S., Sunil Gyawali Ph.D.

Mid-America Transportation Center: Final Reports and Technical Briefs

This research primarily deals with truck driver stress and its nature, stressors, and their mutual relationship. During the study, the different demands of driving that are related to roads, vehicle, traffic conditions, driver predisposition to stress and the surrounding environmental conditions were explored. The two distinct clusters of ―Low Stress level‖ and ―High Stress level‖ were identified in the stress distribution. The binary logistic regression method was used to relate these two conditions of stress with wide range of stressors. The result found that truck driver training was a statistically significant factor in predicting the low stress level. Other statistically …