301 Xuefu Road, Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
Faculty & Staff
Zhao Jingya
Jul 1, 2024

Name

Zhao Jingya 

Professional Title

Assistant professor

E-mail

Zhaojingya26@163.com

Short Biography

2022.12-Present, Jiangsu University, Assistant professor

Teaching Courses


Research Fields

Intelligent Vehicle Traffic Safety; Traffic Safety Analysis and Modeling; Traffic Design

Selected Publications

[1] Zhao J, Liu Q. Quantitative causality assessment between traffic states and crash risk in freeway segments with closely spaced entrance and exit ramps[J]. Physica A: Statistical Mechanics and its Applications, 2024, 637.

[2] Zhao J, Guo Y, Liu P. Safety impacts of geometric design on freeway segments with closely spaced entrance and exit ramps[J]. Accident Analysis & Prevention, 2021, 163:106461.

[3] Zhao J, Liu P, Xu C, et al. Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach[J]. Accident Analysis & Prevention, 2021, 159:106293.

[4] Xu C, Zhao J, Liu P. A geographically weighted regression approach to investigate the effects of traffic conditions and road characteristics on air pollutant emissions[J]. Journal of Cleaner Production, 2019, 239(Dec.1):118084.11.

[5] Zhao J, Liu Q. Safety performance of traffic states in weaving segments with different lane configurations[C]. 2023 IEEE International Conference on Unmanned Systems (ICUS). IEEE.

Selected Publications

[1] Guo Y, Zhao J, Liu P, et al. A method for determining freeway weaving segments, CN202110170989.0, 2021.

[2] Guo Y, Zhao J, Liu P, et al. A method for road marking design in urban expressway weaving segments, CN202110183671.6, 2021.

[3] Guo Y, Zhao J, Liu P, et al. A method for predicting traffic crashes in freeway weaving segments, CN202110170986.7, 2021.

[4] Guo Y, Zhao J, Liu P, et al. A method for predicting traffic safety states in freeway weaving segments, CN202110171055.9, 2021.