Article Title,Year,Volume,Issue,Page Range,Author
The effect of ride experience on changing opinions toward autonomous vehicle safety,2021,1,,e100003,Li
Reasons challenges and some tools for doing reproducible transportation research,2021,1,,e100004,Zheng
Modelling lane-changing execution behaviour in a connected environment: a grouped random parameters with heterogeneity-in-means approach,2021,1,,e100009,Haque
Future transportation: sustainability complexity and individualization of choices,2021,1,,e100010,Ortuzar
DeepTSP: deep traffic state prediction model based on large-scale empirical data,2021,1,,e100012,Qu
State of data platforms for connected vehicles and infrastructures,2021,1,,e100013,Whitehead
Model on empirically calibrating stochastic traffic flow fundamental diagram,2021,1,,e100015,Qu
Are shared electric scooters energy efficient?,2021,1,,e100022,Liu
Video-based trajectory extraction with deep learning for High-Granularity Highway Simulation (HIGH-SIM),2021,1,,e100014,Li
Connected autonomous vehicles for improving mixed traffic efficiency in unsignalized intersections with deep reinforcement learning,2021,1,,e100017,Kulcsár
Pro-social control of connected automated vehicles in mixed-autonomy multi-lane highway traffic,2021,1,,e100019,Kulcsár
Investigating the impacts of urban speed limit reduction through microscopic traffic simulation,2021,1,,e100018,Tettamanti
Is uncertainty always bad for the performance of transportation systems?,2021,1,,e100021,Wang