driving-behavior

Attending the 97th Annual Meeting of the Transportation Research Board

Poster presentation on human-like autonomous car following at the 97th TRB annual meeting.

Organizing Fifth International Symposium on Transportation Safety

During September 25 and 26, 2017, the Fifth International Symposium on Transportation Safety was held at Tongji University. Over 200 scholars and experts from research institutions and government agencies attended the symposium. Zhu served as a volunteer for the meeting organizing.

Shanghai Naturalistic Driving Study

The first large-scale naturalistic driving study in China. A total of 161,055 km of real-world detailed driving data were collected from 60 Chinese drivers, providing an unprecedented opportunity for investigating driving behavior in China.

AlphaDrive: Mastering Driving with Real-World Driving Scenarios

AlphaDrive is a platform equipped with real-world driving scenarios where intelligent agents can learn to drive by trial and error, trials and errors that number in the billions.

Attending the 96th Annual Meeting of the Transportation Research Board

Oral presentation on car-following model calibration at the 96th TRB annual meeting.

Attending the 5th International Symposium on Naturalistic Driving Research in Blacksburg, Virginia

Attending the top international symposium on naturalistic driving study, one of my major research interests.

Driving Behavior Research for Intelligent Collision Avoidance Technology

A driving simulator study jointly conducted by Tongji University and China First Automobile Work Corporation. Tongji University’s eight-degree-freedom driving simulator (its fidelity ranking top 3 in the world) was used. Its primary purpose is to improve the understanding of drivers’ collision avoidance behavior under different rear-end scenarios and to develop an effective forward collision warning strategy.

Optimized Design for Combined Road Alignment

Evaluating the safety performance of combined horizontal and vertical alignments in mountainous freeways, to guide the design of safer mountainous freeways.