Deep Learning for Short-Term Traffic Flow Prediction
Platoons of connected vehicles can double throughput in urban roads
Origin–destination trips by purpose and time of day inferred from mobile phone data
Influence of connected and autonomous vehicles on traffic flow stability and throughput
Preferences for shared autonomous vehicles
The promises of big data and small data for travel behavior (aka human mobility) analysis
Multi-period planning of closed-loop supply chain with carbon policies under uncertainty
An efficient realization of deep learning for traffic data imputation
Analyzing year-to-year changes in public transport passenger behaviour using smart card data
Deploying public charging stations for electric vehicles on urban road networks
Advances in consumer electric vehicle adoption research: A review and research agenda
Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach
Assessing public opinions of and interest in new vehicle technologies: An Austin perspective
Satisfaction with the commute: The role of travel mode choice, built environment and attitudes
Economic analysis of ride-sourcing markets
Impact of the use of electric vehicles in collaborative urban transport networks: A case study
Driving safety field theory modeling and its application in pre-collision warning system
Consumer purchase intentions for electric vehicles: Is green more important than price and range?