Time Headway as Indices of Traffic Congestion

Real-Time Traffic Congestion Prediction

ions to meet these challenges. Data Intensive Network Organization Traffic prediction networks require a combination of big data and large number of devices to combine semi-global historic traffic information and on-line vehicle updates. This requires the convergence of approaches used by the datacenter community and real-time community. Such dynamical systems with real-time constraints require...

Determinants of following Headway in Congested Traffic

This paper reports on results of a study undertaken in the U.K. aimed at investigating factors affecting the car following process. An understanding of the factors affecting this complex decision making process is essential to a wide range of theoretical issues including driver workload, capacity and the modeling of freeway flow, as well as practical applications such as the design of in-vehicl...

Active Traffic Management as a Tool for Addressing Traffic Congestion

Traffic Congestion and Congestion Pricing

For several decades growth of traffic volumes has outstripped investments in road infrastructure. The result has been a relentless increase in traffic congestion. This paper reviews the economic principles behind congestion pricing in static and dynamic settings, which derive from the benefits of charging travellers for the externalities they create. Special attention is paid to various complic...

Analysis of Headway of Heterogeneous Traffic on Indian Urban Roads

Headway or inter-arrival time of vehicles is an important parameter in traffic flow, especially in urban roads, since this is one of the main parameters to determine the minimum (safe) gap between vehicles and the capacity. The studies done on headway analysis have mostly concentrated on homogeneous traffic where the flow follows lane discipline. This ideal situation does not exist on Indian ur...