With the development of automated driving technology and communication technology, the
emergence of connected automated vehicles (CAVs) will significantly improve traffic …

Urban ride-hailing demand prediction is a long-term but challenging task for online car-
hailing system decision, taxi scheduling and intelligent transportation construction. Accurate …

Accurate real-time prediction of urban traffic flows is one of the most important problems in
traffic management and control optimization research. Short-term traffic flow has complex …

Urban traffic is becoming more and more intensive, but the amount of space available for
parking along city streets is not increasing at a rate commensurate with the rising number of …

Transportation system is facing a sharp disruption since the Connected Autonomous
Vehicles (CAVs) can free people from driving and provide good driving experience with the …

Vehicular traffic has strong implication in the severity and degree of Urban Heat Island (UHI)
effect in a city. It is crucial to map and monitor the spatio-temporal heat patterns from …

Based on the forecast of the future prospect of the car network function, the paper analyzes
the traffic characteristics of the future networked vehicles and the traffic characteristics of the …

Probabilistic cellular automata (PCA) are interacting discrete stochastic dynamical systems
used as a modeling tool for a wide range of natural and societal phenomena. Their key …

A new cellular automata traffic model based on Revised S-NFS model is established to
consider a mixed flow system in which the maximal velocity of the agents is distributed, as is …

Urban transportation with multiple roundabouts is facing significant challenges such as
traffic congestion, gridlock and traffic accidents. In order to understand these behaviors, we …