Competition between Shared Autonomous Vehicles and Public Transit: A Case Study in Singapore Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao. Competition between Shared Autonomous Vehicles and Public Transit: A Case Study in Singapore. Transportation Research Part C. 2021. Read more about Competition between Shared Autonomous Vehicles and Public Transit: A Case Study in Singapore
Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach Peyman Noursalehi, Haris N. Koutsopoulos, Jinhua Zhao. Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 2020. Read more about Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning ApproachDOI
Estimating the Potential for Shared Autonomous Scooters Kondor D, Xiaohu Zhang, Meghjani M, Paolo Santi, Jinhua Zhao, Carlo Ratti. Estimating the Potential for Shared Autonomous Scooters. IEEE Transactions on Intelligent Transportation Systems. 2020. Read more about Estimating the Potential for Shared Autonomous ScootersDOI
Machine-learning-augmented analysis of textual data: application in transit disruption management Peyman Noursalehi, Koutsopoulos HN, Jinhua Zhao. Machine-learning-augmented analysis of textual data: application in transit disruption management. IEEE Open Journal of Intelligent Transportation Systems. 2020. Read more about Machine-learning-augmented analysis of textual data: application in transit disruption management
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network Baichuan Mo, Feng K, Yu Shen, Tam C, Li D, Yin Y, et al. Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. Transportation Research Part C. 2020. Read more about Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
Unexpected Bus Operator Absence and Extraboard Scheduling – MBTA Case Study Qingyi Wang, Haris Koutsopoulos, Nigel Wilson. Unexpected Bus Operator Absence and Extraboard Scheduling – MBTA Case Study. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020. Read more about Unexpected Bus Operator Absence and Extraboard Scheduling – MBTA Case Study
Bundled Mobility Passes in Chicago: Consumer Preference and Revenue Implications Apaar Bansal, Jinhua Zhao. Bundled Mobility Passes in Chicago: Consumer Preference and Revenue Implications. In: Transportation Research Board 99th Annual Meeting. Washington, D.C.; 2020. Read more about Bundled Mobility Passes in Chicago: Consumer Preference and Revenue Implications
Predictive decision support for real-time crowding prediction and information generation Peyman Noursalehi, Haris Koutsopoulos, Jinhua Zhao. Predictive decision support for real-time crowding prediction and information generation. In: Transportation Research Board 98th Annual Meeting. Washington, D.C.; 2019. Read more about Predictive decision support for real-time crowding prediction and information generation
Is Ridesourcing More Efficient than Taxis? Hui Kong, Xiaohu Zhang, Jinhua Zhao. Is Ridesourcing More Efficient than Taxis? Applied Geography. 2020. Read more about Is Ridesourcing More Efficient than Taxis?
The Price of Privacy Control in Mobility Sharing Martelli F., Renda M. Elena, Jinhua Zhao. The Price of Privacy Control in Mobility Sharing. Journal of Urban Technology. 2020. Read more about The Price of Privacy Control in Mobility SharingDOI