Unlocking the full potential of deep learning in traffic forecasting through road network representations: A critical review
Data Science for Transportation 5 (3), 23, 2023
Publications
The impacts of automated urban delivery and consolidation
Transportation Research Procedia 72, 2542-2549, 2023
Reinforcement Learning for Efficient Bus Priority Systems: Balancing Transit Efficiency and Traffic Impact
Data Science for Transportation 6 (2), 16, 2023
A Causal Deep Learning Framework for Traffic Forecasting
26th International Conference on Intelligent Transportation Systems (ITSC), pp. 5047-5053, IEEE, 2023
Effects of Driving Behavior on Fuel Consumption with Explainable Gradient Boosting Decision Trees
8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE, 2023
A two-phase metaheuristic approach for the parcel locker location problem: First select then merge
2023 8th International Conference on Models and Technologies for Intelligent …, 2023
Travel behavior shifts under extreme system-level disruptions
Transportation Research Procedia 72, 1420-1426, 2023
Empirical investigation of shared space traffic: A comparison to conventional urban road environment
International Journal of Transportation Science and Technology 15, 122-135, 2023
Efficient Traffic Demand Forecasting Using A Meaningful Representation With Social Multiplex Networks and Community Detection
, 2023