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 …

Vehicle-to-vehicle (for short, V2V) communication technology is regarded as a promising
technology to improve traffic efficiency and safety. In this paper, an extended car-following …

By incorporating the “backward looking” effect and traffic interruption probability, we put
forward an improved lattice model. Applying linear stability analysis, linear stability criterion …

An improved cellular automata model (CA model) considering driving styles is proposed to
analyze traffic flow characteristics and study traffic congestion's dissipation mechanism. The …

An extended two-lane lattice hydrodynamic model is proposed for the purpose of studying
the effects of lane changing behavior and passing behavior on curved road. The main work …

In order to investigate the effect of “backward looking” and flow integral upon traffic flow, an
improved lattice hydrodynamic model has been developed. The stability condition is …

Cellular automaton (CA) approach is an important theoretical framework for studying
complex system behavior and has been widely applied in various research field. CA traffic …

The design of contraflow left-turn (CL) lane has effectively improved the capacity of left-turn
vehicles at signalized intersections and has been widely used. Existing studies have …

By introducing the “backward looking” influence and the integration form of the density
difference between the front and rear vehicles, an improved lattice hydrodynamic model is …

The research deals with the creation of mathematical tools for the simulation of vehicular
traffic flows on complex urban transport networks using modern supercomputers. The goal of …