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Te Xu
Te Xu
Research Scientist @ Amazon, Ph.D. @ University of Minnesota
Verified email at umn.edu
Title
Cited by
Cited by
Year
Longitudinal safety impacts of cooperative adaptive cruise control vehicle's degradation
Y Tu, W Wang, Y Li, C Xu, T Xu, X Li
Journal of Safety Research 69, 177-192, 2019
792019
Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network
T Xu, S Barman, MW Levin, R Chen, T Li
Transportation Research Part C: Emerging Technologies 138, 103614, 2022
502022
Vehicle pollutant dispersion in the urban atmospheric environment: A review of mechanism, modeling, and application
M Liang, Y Chao, Y Tu, T Xu
Atmosphere 14 (2), 279, 2023
252023
FMS-dispatch: a fast maximum stability dispatch policy for shared autonomous vehicles including exiting passengers under stochastic travel demand
T Xu, M Cieniawski, MW Levin
Transportmetrica A: Transport Science 20 (3), 2214968, 2024
122024
Ped-mp: A pedestrian-friendly max-pressure signal control policy for city networks
T Xu, Y Bika, MW Levin
Journal of Transportation Engineering, Part A: Systems 150 (7), 04024028, 2024
122024
A zone-based dynamic queueing model and maximum-stability dispatch policy for shared autonomous vehicles
T Xu, MW Levin, M Cieniawski
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
112021
Understanding driver-pedestrian interactions to predict driver yielding: Naturalistic open-source dataset collected in Minnesota
T Li, J Klavins, T Xu, NM Zafri, R Stern
arXiv preprint arXiv:2312.15113, 2023
52023
An approximate position-weighted back-pressure traffic signal control policy for traffic networks
TE XU, Y Bika, M Levin
Available at SSRN 4186584, 2022
52022
Smoothing-MP: A novel max-pressure signal control considering signal coordination to smooth traffic in urban networks
T Xu, S Barman, MW Levin
Transportation Research Part C: Emerging Technologies 166, 104760, 2024
42024
Boosting max-pressure signal control into practical implementation: Methodologies and simulation studies in city networks
T Xu
University of Minnesota, 2023
42023
Passenger flow prediction of urban public transport hubs based on a deep learning approach: A case study in Changzhou
T Xu, M Yang, J Wu, D Lei, Y Wu
18th COTA International Conference of Transportation Professionals, 755-765, 2018
22018
Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota
T Li, J Klavins, T Xu, NM Zafri, R Stern
Journal of Safety Research 92, 331-345, 2025
2025
Identification system for transit bottleneck between bus stops
M Yang, T Xu, N Wang, X Luo, M Zhu, Q Zhao, H Qi
CN Patent CN106,373,399 A, 2018
2018
A kind of public transport based on ZigBee-network is entered the station bootstrap technique
T Xu, J Huang, S Hualei, N Li, H Shao
CN Patent CN105,139,684 B, 2017
2017
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