Jun Liu
Cited by
Cited by
Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation
J Liu, KM Kockelman, PM Boesch, F Ciari
Transportation 44, 1261-1278, 2017
Shared autonomous electric vehicle (SAEV) operations across the Austin, Texas network with charging infrastructure decisions
B Loeb, KM Kockelman, J Liu
Transportation Research Part C: Emerging Technologies 89, 222-233, 2018
Delivering improved alerts, warnings, and control assistance using basic safety messages transmitted between connected vehicles
J Liu, AJ Khattak
Transportation Research Part C: Emerging Technologies 68, 83-100, 2016
What is the level of volatility in instantaneous driving decisions?
X Wang, AJ Khattak, J Liu, G Masghati-Amoli, S Son
Transportation Research Part C: Emerging Technologies 58, 413-427, 2015
Pedestrian injury severity in motor vehicle crashes: An integrated spatio-temporal modeling approach
J Liu, A Hainen, X Li, Q Nie, S Nambisan
Accident Analysis & Prevention 132, 105272, 2019
What are the differences in driver injury outcomes at highway-rail grade crossings? Untangling the role of pre-crash behaviors
J Liu, AJ Khattak, SH Richards, S Nambisan
Accident Analysis & Prevention 85, 157-169, 2015
Anticipating the emissions impacts of smoother driving by connected and autonomous vehicles, using the MOVES model
J Liu, K Kockelman, A Nichols
Transportation Research Board 96th Annual Meeting, 2017
Modeling traffic incident duration using quantile regression
AJ Khattak, J Liu, B Wali, X Li, MW Ng
Transportation Research Record 2554 (1), 139-148, 2016
Do safety performance functions used for predicting crash frequency vary across space? Applying geographically weighted regressions to account for spatial heterogeneity
J Liu, AJ Khattak, B Wali
Accident Analysis & Prevention 109, 132-142, 2017
Customizing Driving Cycles to Support Vehicle Purchase and Use Decisions: Fuel Economy Estimation for Alternative Fuel Vehicle Users
J Liu, X Wang, A Khattak
Transportation Research Part C: Emerging Technologies 67, 280-298, 2016
Gate-violation behavior at highway-rail grade crossings and the consequences: using geo-spatial modeling integrated with path analysis
J Liu, AJ Khattak
Accident Analysis & Prevention 109, 99-112, 2017
Non-crossing rail-trespassing crashes in the past decade: A spatial approach to analyzing injury severity
X Wang, J Liu, AJ Khattak, D Clarke
Safety Science 82, 44-55, 2016
The role of alternative fuel vehicles: using behavioral and sensor data to model hierarchies in travel
J Liu, A Khattak, X Wang
Transportation Research Part C: Emerging Technologies 55, 379-392, 2015
Rider perception of a “light” Bus Rapid Transit system-The New York City Select Bus Service
D Wan, C Kamga, J Liu, A Sugiura, EB Beaton
Transport Policy 49, 41-55, 2016
A comparative study of rail-pedestrian trespassing crash injury severity between highway-rail grade crossings and non-crossings
M Zhang, AJ Khattak, J Liu, D Clarke
Accident Analysis & Prevention 117, 427-438, 2018
Bicyclist injury severity in traffic crashes: A spatial approach for geo-referenced crash data to uncover non-stationary correlates
J Liu, AJ Khattak, X Li, Q Nie, Z Ling
Journal of safety research 73, 25-35, 2020
What is the evidence concerning the gap between on-road and Environmental Protection Agency fuel economy ratings?
DL Greene, AJ Khattak, J Liu, X Wang, JL Hopson, R Goeltz
Transport Policy 53, 146-160, 2017
Fuel consumption for various driving styles in conventional and hybrid electric vehicles: Integrating driving cycle predictions with fuel consumption optimization
J Rios-Torres, J Liu, A Khattak
International Journal of Sustainable Transportation 13 (2), 123-137, 2019
Driver behavior at highway–rail grade crossings with passive traffic controls: A driving simulator study
J Liu, B Bartnik, SH Richards, AJ Khattak
Journal of Transportation Safety & Security 8 (sup1), 37-55, 2016
How big data serves for freight safety management at highway-rail grade crossings? A spatial approach fused with path analysis
J Liu, X Wang, AJ Khattak, J Hu, JX Cui, J Ma
Neurocomputing 181, 38-52, 2016
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