Experimental evaluation of hotspot identification methods W Cheng, SP Washington Accident Analysis & Prevention 37 (5), 870-881, 2005 | 404 | 2005 |
New criteria for evaluating methods of identifying hot spots W Cheng, S Washington Transportation Research Record 2083 (1), 76-85, 2008 | 224 | 2008 |
Solving the last mile problem: Ensure the success of public bicycle system in Beijing Z Liu, X Jia, W Cheng Procedia-social and behavioral sciences 43, 73-78, 2012 | 216 | 2012 |
Predicting motorcycle crash injury severity using weather data and alternative Bayesian multivariate crash frequency models W Cheng, GS Gill, T Sakrani, M Dasu, J Zhou Accident Analysis & Prevention 108, 172-180, 2017 | 102 | 2017 |
Comparison of Multivariate Poisson lognormal spatial and temporal crash models to identify hot spots of intersections based on crash types W Cheng, GS Gill, R Dasu, M Xie, X Jia, J Zhou Accident Analysis & Prevention 99, 330-341, 2017 | 64 | 2017 |
Interactive multi-criteria group decision-making with probabilistic linguistic information for emergency assistance of COVID-19 SP Wan, WBH Cheng, JY Dong Applied Soft Computing 107, 107383, 2021 | 54 | 2021 |
Multimodal crash frequency modeling: Multivariate space-time models with alternate spatiotemporal interactions W Cheng, GS Gill, JL Ensch, J Kwong, X Jia Accident Analysis & Prevention 113, 159-170, 2018 | 46 | 2018 |
Bayesian spatiotemporal crash frequency models with mixture components for space-time interactions W Cheng, GS Gill, Y Zhang, Z Cao Accident Analysis & Prevention 112, 84-93, 2018 | 37 | 2018 |
Investigation of hit-and-run crash occurrence and severity using real-time loop detector data and hierarchical Bayesian binary logit model with random effects M Xie, W Cheng, GS Gill, J Zhou, X Jia, S Choi Traffic injury prevention 19 (2), 207-213, 2018 | 32 | 2018 |
Exploring the modeling and site-ranking performance of Bayesian spatiotemporal crash frequency models with mixture components W Cheng, GS Gill, Y Zhang, T Vo, F Wen, Y Li Accident Analysis & Prevention 135, 105357, 2020 | 20 | 2020 |
An enhanced empirical bayesian method for identifying road hotspots and predicting number of crashes AS Lee, WH Lin, GS Gill, W Cheng Journal of Transportation Safety & Security 11 (5), 562-578, 2019 | 19 | 2019 |
Comparative evaluation of temporal correlation treatment in crash frequency modelling W Cheng, GS Gill, S Choi, J Zhou, X Jia, M Xie Transportmetrica A: transport science 14 (7), 615-633, 2018 | 19 | 2018 |
Analysis of drivers’ stop-or-run behavior at signalized intersections with high-resolution traffic and signal event data X Wu, ND Vall, HX Liu, W Cheng, X Jia Transportation research record 2365 (1), 99-108, 2013 | 19 | 2013 |
Evaluating Influence of Neighboring Structures on Spatial Crash Frequency Modeling and Site-Ranking Performance GS Gill, W Cheng, M Xie, T Vo, X Jia, J Zhou Transportation Research Record: Journal of the Transportation Research Board …, 2017 | 18 | 2017 |
Investigating the severity of expressway crash based on the random parameter logit model accounting for unobserved heterogeneity F Ye, W Cheng, C Wang, H Liu, J Bai Advances in Mechanical Engineering 13 (12), 16878140211067278, 2021 | 13 | 2021 |
Synthetic environment to evaluate alternative trip distribution models X Ye, W Cheng, X Jia Transportation research record 2302 (1), 111-120, 2012 | 13 | 2012 |
Deep learning to detect road distress from unmanned aerial system imagery LNH Truong, OE Mora, W Cheng, H Tang, M Singh Transportation Research Record 2675 (9), 776-788, 2021 | 12 | 2021 |
Modeling the endogeneity of lane-mean speeds and lane-speed deviations using a Bayesian structural equations approach with spatial correlation W Cheng, GS Gill, T Sakrani, D Ralls, X Jia Transportation Research Part A: Policy and Practice 116, 220-231, 2018 | 12 | 2018 |
An examination of the endogeneity of speed limits and accident counts in crash models W Cheng, JH Wang, G Bryden, X Ye, X Jia Journal of Transportation Safety & Security 5 (4), 314-326, 2013 | 12 | 2013 |
Exploring Factors Associated with Cyclist Injury Severity in Vehicle‐Electric Bicycle Crashes Based on a Random Parameter Logit Model F Ye, C Wang, W Cheng, H Liu Journal of advanced transportation 2021 (1), 5563704, 2021 | 11 | 2021 |