Congestion is a major challenge in today's road traffic. This paper addresses the issue of
how to optimize traffic throughput on highways, in particular for intersections where a ramp …

Attaining efficient road traffic through optimizing travel time and energy consumption without
compromising safety is a key goal in transport telematics. Lane-changes and merging have …

We present two novel merging algorithms that optimize traffic flow on highways, particularly
at intersections of ramps and main roads. In our work, cars are equipped with sensors that …

The merging of main road and on-ramp traffic is known to lead to congestion under heavy
traffic conditions. This is mainly due to the underutilization of the road infrastructure and the …

Data aggregation is an important issue for vehicular ad-hoc networks (VANETs). Congestion
notification applications are built to warn drivers of traffic slowdowns far enough in advance …

Recognition of necessities of connected and automated vehicles (CAVs) is gaining
momentum. CAVs can improve both transportation network efficiency and safety through …

We propose VGrid: an ad hoc networking and computing grid formed by leveraging inter-
vehicle and vehicle-to-roadside wireless communications. In addition to exchanging data …

A key goal in transportation system is to attain efficient road traffic through minimization of
trip time, fuel consumption and pollutant-emission without compromising safety. In dense …

With the emergence of connected and autonomous vehicles, sensors are increasingly
deployed within cars to support new functionalities. Traffic generated by these sensors …

Vehicular sensing has gained prominence in recent years with its use in entities, including
traffic management centers, forensic authorities, and air pollution control units. It also …