Vehicular travel is increasing throughout the world, particularly in large urban areas.
Therefore the need arises for simulating and optimizing traffic control algorithms to better …

Forecasting future driving conditions such as acceleration, velocity, and driver behaviors can
greatly contribute to safety, mobility, and sustainability issues in the development of new …

Visualisation is an effective tool for studying traffic congestion using massive traffic datasets
collected from traffic sensors. Existing techniques can reveal where/when congested areas …

By introducing the concept of speed elasticity of flow and density, this paper provides a
generic characterization for a class of well-behaved equilibrium speed-flow curves that are …

Recently different formulations of the first-order Lighthill-Whitham-Richards (LWR) model
have been identified in different coordinates and state variables. However, relationships …

A class of traffic flow models that capture the nonlinear dynamics of traffic jams are
proposed. The class of discrete models originate from equations satisfied by the discrete …

Macroscopic traffic flow models are suited for large scale, network wide applications where
the macro-characteristics of the flow are of prime interest. A clear understanding of the …

This paper shows the essence of conservation forms when applying the weak solution
theory to solve the traveling wave solution of a wide cluster in the Payne-Whitham (PW) …

Several realistic situations in vehicular traffic that give rise to queues can be modeled
through conservation laws with boundary and unilateral constraints on the flux. This paper …

Motivated by the desire to explore future traffic flows that will consist of a mixture of classical
vehicles and vehicles equipped with advanced driver assistance systems, new …