Simon Hu
Orcid: 0000-0002-9832-6679Affiliations:
- Zhejiang University, Institute of Intelligent Transportation Systems, Haining, China
- Imperial College London, Transport and Environmental Laboratory, London, UK (2017 - 2018)
According to our database1,
Simon Hu
authored at least 43 papers
between 2012 and 2024.
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Bibliography
2024
Evaluating Stability and Performance in Mixed Traffic: A Theoretical and Co-Simulation Approach.
IEEE Trans. Intell. Transp. Syst., November, 2024
Physics-Guided Multi-Source Transfer Learning for Network-Scale Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., November, 2024
Optimal Operation of Fast Charging Station Aggregator in Uncertain Electricity Markets Considering Onsite Renewable Energy and Bounded EV User Rationality.
IEEE Trans. Ind. Informatics, November, 2024
Cooperative Traffic Signal Control Using a Distributed Agent-Based Deep Reinforcement Learning With Incentive Communication.
IEEE Trans. Intell. Transp. Syst., August, 2024
Optimal Dynamic Pricing of Fast Charging Stations Considering Bounded Rationality of Users and Market Regulation.
IEEE Trans. Smart Grid, July, 2024
Identifying Critical Links in Urban Transportation Networks Based on Spatio-Temporal Dependency Learning.
IEEE Trans. Intell. Transp. Syst., June, 2024
Enhanced Multimodal Trajectory Prediction for Autonomous Vehicles Using Advanced Diffusion Model Techniques.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
IEEE Trans. Veh. Technol., November, 2023
A Generic Approach to Eco-Driving of Connected Automated Vehicles in Mixed Urban Traffic and Heterogeneous Power Conditions.
IEEE Trans. Intell. Transp. Syst., November, 2023
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships.
ACM Trans. Knowl. Discov. Data, May, 2023
A CNN-based generative model for vehicle trajectory reconstruction in mixed traffic flow.
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023
Bi-Level Programming Approach for Optimal Charging Station Location and Traffic Assignment in Electric Autonomous Vehicle Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Variable Time Headway Policy Based Platoon Control for Heterogeneous Connected Vehicles With External Disturbances.
IEEE Trans. Intell. Transp. Syst., 2022
A Car-Following Model for Connected and Automated Vehicles With Heterogeneous Time Delays Under Fixed and Switching Communication Topologies.
IEEE Trans. Intell. Transp. Syst., 2022
High Time-Resolution Queue Profile Estimation at Signalized Intersections Based on Extended Kalman Filtering.
IEEE Trans. Intell. Transp. Syst., 2022
Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network.
J. Intell. Transp. Syst., 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
Urban Traffic Route Guidance Method With High Adaptive Learning Ability Under Diverse Traffic Scenarios.
IEEE Trans. Intell. Transp. Syst., 2021
Queue Profile Identification at Signalized Intersections with High-Resolution Data from Drones.
Proceedings of the 7th International Conference on Models and Technologies for Intelligent Transportation Systems, 2021
Developing Smart Lane-changing Strategies for CAVs on Freeways based on MOBIL and Reinforcement Learning.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Urban Eco-driving of Connected and Automated Vehicles in Traffic-Mixed and Power-heterogeneous Conditions.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the IEEE International Conference on e-Business Engineering, 2021
2020
An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data.
Sensors, 2020
Multim. Tools Appl., 2020
Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing.
CoRR, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Short-term Traffic Prediction with Deep Neural Networks and Adaptive Transfer Learning.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
A Max Pressure Approach to Urban Network Signal Control with Queue Estimation using Connected Vehicle Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
IQGA: A route selection method based on quantum genetic algorithm- toward urban traffic management under big data environment.
World Wide Web, 2019
SALA: A Self-Adaptive Learning Algorithm - Towards Efficient Dynamic Route Guidance in Urban Traffic Networks.
Neural Process. Lett., 2019
A Q-learning Foresighted Approach to Ego-efficient Lane Changes of Connected and Automated Vehicles on Freeways.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Simulation and Evaluation of CAVs Behavior in an Isolated Signalized Intersection Equipped with Dynamic Wireless Power Transfer System.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2015
An assessment of VMS-rerouting and traffic signal planning with emission objectives in an urban network - A case study for the city of Graz.
Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015
2014
A comparative study of k-NN and hazard-based models for incident duration prediction.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
2013
Field investigation of vehicle acceleration at the stop line with a dynamic vision sensor.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
2012
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012