[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. |
[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. |