Assessing public opinions of and interest in new vehicle technologies: An Austin perspective
Influence of connected and autonomous vehicles on traffic flow stability and throughput
The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery
A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting
Discovering themes and trends in transportation research using topic modeling
The promises of big data and small data for travel behavior (aka human mobility) analysis
From Twitter to detector: Real-time traffic incident detection using social media data
Origin–destination trips by purpose and time of day inferred from mobile phone data
Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach
Factors influencing the choice of shared bicycles and shared electric bikes in Beijing
Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities
A data-driven optimization-based approach for siting and sizing of electric taxi charging stations
Research and development of automatic train operation for railway transportation systems: A survey
A multiclass cell transmission model for shared human and autonomous vehicle roads
When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport
Short-term traffic flow rate forecasting based on identifying similar traffic patterns
Short-term traffic flow rate forecasting based on identifying similar traffic patterns
Understanding the impacts of mobile phone distraction on driving performance: A systematic review
Efficient control of fully automated connected vehicles at freeway merge segments
Optimal vehicle trajectory planning in the context of cooperative merging on highways
Autonomous cars: The tension between occupant experience and intersection capacity
Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic
Real-time traffic state estimation in urban corridors from heterogeneous data
Comparison of four statistical and machine learning methods for crash severity prediction
Short-term speed predictions exploiting big data on large urban road networks
Analyzing year-to-year changes in public transport passenger behaviour using smart card data
Vehicle headway modeling and its inferences in macroscopic/microscopic traffic flow theory: A survey
Platoon based cooperative driving model with consideration of realistic inter-vehicle communication