Xianbiao Hu
- (2020): Modeling Individual Travel Time with Back Propagation Neural Network Approach for Advanced Traveler Information Systems. Dans: Journal of Transportation Engineering, Part A: Systems, v. 146, n. 6 (juin 2020).
- (2020): Modeling Routing Behavior Learning Process for Vacant Taxis in a Congested Urban Traffic Network. Dans: Journal of Transportation Engineering, Part A: Systems, v. 146, n. 6 (juin 2020).
- (2020): Reduce Bus Bunching with a Real-Time Speed Control Algorithm Considering Heterogeneous Roadway Conditions and Intersection Delays. Dans: Journal of Transportation Engineering, Part A: Systems, v. 146, n. 7 (juillet 2020).
- (2020): Modeling and Prediction of Bus Operation States for Bunching Analysis. Dans: Journal of Transportation Engineering, Part A: Systems, v. 146, n. 9 (septembre 2020).
- (2019): Will information and incentive affect traveler’s day-to-day departure time decisions?—An empirical study of decision making evolution process. Dans: International Journal of Sustainable Transportation, v. 14, n. 6 (mai 2019).
- (2013): Design of Driving Behavior Pattern Measurements Using Smartphone Global Positioning System Data. Dans: International Journal of Transportation Science and Technology, v. 2, n. 4 (décembre 2013).
- (2015): A Constrained Time-Dependent K Shortest Paths Algorithm Addressing Overlap and Travel Time Deviation. Dans: International Journal of Transportation Science and Technology, v. 4, n. 4 (décembre 2015).
- (2015): Behavior Insights for an Incentive-Based Active Demand Management Platform. Dans: International Journal of Transportation Science and Technology, v. 4, n. 2 (juin 2015).
- (2015): Studying Driving Risk Factors using Multi-Source Mobile Computing Data. Dans: International Journal of Transportation Science and Technology, v. 4, n. 3 (septembre 2015).
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