A linear programming formulation for autonomous intersection control within a dynamic traffic assignment and connected vehicle environment F Zhu, SV Ukkusuri Transportation Research Part C: Emerging Technologies 55, 363-378, 2015 | 158 | 2015 |
Inferring urban land use using large-scale social media check-in data X Zhan, SV Ukkusuri, F Zhu Networks and Spatial Economics 14 (3-4), 647-667, 2014 | 73 | 2014 |
Accounting for dynamic speed limit control in a stochastic traffic environment: A reinforcement learning approach F Zhu, SV Ukkusuri Transportation research part C: emerging technologies 41, 30-47, 2014 | 68 | 2014 |
A junction-tree based learning algorithm to optimize network wide traffic control: A coordinated multi-agent framework F Zhu, HMA Aziz, X Qian, SV Ukkusuri Transportation Research Part C: Emerging Technologies 58, 487-501, 2015 | 45 | 2015 |
A cell based dynamic system optimum model with non-holding back flows F Zhu, SV Ukkusuri Transportation Research Part C: Emerging Technologies 36, 367-380, 2013 | 33 | 2013 |
An optimal estimation approach for the calibration of the car-following behavior of connected vehicles in a mixed traffic environment F Zhu, SV Ukkusuri IEEE Transactions on Intelligent Transportation Systems 18 (2), 282-291, 2016 | 31 | 2016 |
Delay and emissions modelling for signalised intersections F Zhu, HK Lo, HZ Lin Transportmetrica B: transport dynamics 1 (2), 111-135, 2013 | 26 | 2013 |
Modeling the proactive driving behavior of connected vehicles: A cell‐based simulation approach F Zhu, SV Ukkusuri Computer‐Aided Civil and Infrastructure Engineering 33 (4), 262-281, 2018 | 25 | 2018 |
Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility HMA Aziz, F Zhu, SV Ukkusuri Journal of Intelligent Transportation Systems 22 (1), 40-52, 2018 | 25 | 2018 |
DCL-AIM: Decentralized coordination learning of autonomous intersection management for connected and automated vehicles Y Wu, H Chen, F Zhu Transportation Research Part C: Emerging Technologies 103, 246-260, 2019 | 20 | 2019 |
A reinforcement learning approach for distance‐based dynamic tolling in the stochastic network environment F Zhu, SV Ukkusuri Journal of Advanced Transportation 49 (2), 247-266, 2015 | 20 | 2015 |
A Heckman selection model for the safety analysis of signalized intersections X Xu, SC Wong, F Zhu, X Pei, H Huang, Y Liu PloS one 12 (7), e0181544, 2017 | 13 | 2017 |
Modeling the fundamental diagram of mixed human-driven and connected automated vehicles J Zhou, F Zhu Transportation Research Part C: Emerging Technologies 115, 102614, 2020 | 8 | 2020 |
Distributed adaptive longitudinal control for uncertain third-order vehicle platoon in a networked environment Y Zhu, F Zhu IEEE Transactions on Vehicular Technology 67 (10), 9183-9197, 2018 | 8 | 2018 |
Accident severity levels and traffic signs interactions in state roads: A seemingly unrelated regression model in unbalanced panel data approach X Xu, Ž Šarić, F Zhu, D Babić Accident Analysis & Prevention 120, 122-129, 2018 | 7 | 2018 |
Cycling comfort evaluation with instrumented probe bicycle S Zhu, F Zhu Transportation Research Part A: Policy and Practice 129, 217-231, 2019 | 5 | 2019 |
Efficient and fair system states in dynamic transportation networks F Zhu, SV Ukkusuri Transportation Research Part B: Methodological 104, 272-289, 2017 | 5 | 2017 |
Barrier-function-based distributed adaptive control of nonlinear CAVs with parametric uncertainty and full-state constraint Y Zhu, F Zhu Transportation Research Part C: Emerging Technologies 104, 249-264, 2019 | 4 | 2019 |
Multi-objective bike-way network design problem with space–time accessibility constraint S Zhu, F Zhu Transportation 47 (5), 2479-2503, 2020 | 3 | 2020 |
Cost-sensitive canonical correlation analysis for semi-supervised multi-view learning J Wan, F Zhu IEEE Signal Processing Letters 27, 1330-1334, 2020 | 1 | 2020 |