457 citations · 533 across the 13 of their papers we have counts for
6 papers · 1 filter
Gap Acceptance During Lane Changes by Large-Truck Drivers-An Image-Based Analysis
Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc +3
This paper presents an analysis of rearward gap acceptance characteristics of drivers of large trucks in highway lane change scenarios. The range between the vehicles was inferred…
Analysis of mandatory and discretionary lane change behaviors for heavy trucks
Ding Zhao, Huei Peng, Kazutoshi Nobukawa +3
The behaviors of heavy vehicles drivers in mandatory and discretionary lane changes are analyzed in this paper. 640 mandatory and 2,035 discretionary lane change events were extrac…
Analysis of Unprotected Intersection Left-Turn Conflicts based on Naturalistic Driving Data
Xinpeng Wang, Ding Zhao, Huei Peng +1
Analyzing and reconstructing driving scenarios is crucial for testing and evaluating automated vehicles. This research analyzed left turn / straight-driving conflicts at unprotecte…
Development and Evaluation of Two Learning-Based Personalized Driver Models for Car-Following Behaviors
Wenshuo Wang, Ding Zhao, Junqiang Xi +2
Personalized driver models play a key role in the development of advanced driver assistance systems and automated driving systems. Traditionally, physical-based driver models with…
Evaluation of A Semi-Autonomous Lane Departure Correction System Using Naturalistic Driving Data
Ding Zhao, Wenshuo Wang, David J. LeBlanc
Evaluating the effectiveness and benefits of driver assistance systems is essential for improving the system performance. In this paper, we propose an efficient evaluation method f…
Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models
Zhiyuan Huang, Ding Zhao, Henry Lam +1
The process to certify highly Automated Vehicles has not yet been defined by any country in the world. Currently, companies test Automated Vehicles on public roads, which is time-c…