We formulate an empirical model of congestion for a network where queues may form and spill back from one link to another. Its purpose is to disentangle the dynamic effect that a marginal vehicle, on a given link and at a given time, has on the distribution of travel times experienced there and on connected links. We estimate a dynamic model, based on an unusually complete and accurate dataset ...

In order to monitor the mobile vehicles efficiently and judge the congestion status under complex condition of road and traffic, Radio frequency identification (RFID) technology is used to realize the dynamic identification and information exchange of the vehicles together with using the advantage of tech‐ nologies of Global Positioning System (GPS) and Location Based Service (LBS) to get the p...

Vehicle externality costs include emissions of greenhouse and other gases (affecting global warming and human health), crash costs (imposed on crash partners), roadway congestion, and space consumption, among others. These five sources of external costs by vehicle make and model were estimated for the top-selling passenger cars and light-duty trucks in the U.S. Among these external costs, those...

Growth of total number of vehicles around the world is increase exponentially during past decade. Traffic monitoring is become a big issue in many countries. In India, Many cities having manned traffic monitoring system. A manned traffic monitoring system has certain issues like availability, accuracy of management staff. In this paper, we study different traffic monitoring system. Each system ...

With the growing number of vehicles and users, monitoring road and traffic within cities is becoming a huge research challenge. With the urban scale enlargement coupled with the exponential growth in the number of vehicles, South Africa (SA) is not an exception. Consequently, congestion and pollution (i.e. noise and air) have become the order of the day. Road congestion and traffic-related poll...

Sharing unused vehicles is one practical solution for traffic congestion. We propose an advanced vehicle-sharing service that maximizes the sharing of vehicles and improves traffic efficiency by coordinating user trips via an information system. We formulate ride-sharing games that model externalities in vehicle sharing caused by insufficient vehicle supply. We show how Bayes correlated equilib...

RoadRunner is an in-vehicle app for traffic congestion control without costly roadside infrastructure, instead judiciously harnessing vehicle-to-vehicle communications, cellular connectivity, and onboard computation and sensing to enable large-scale traffic congestion control at higher penetration and finer granularity than previously possible. RoadRunner limits the number of vehicles in a cong...

In this paper we present a protocol that controls automated autonomous vehicles driving on a multiple merge junction highway. The protocol is distributed and it controls both merging and yielding. We show a simulation study that presents the protocol and its impacts on safety and congestion under diierent operating conditions. Our main result is that for simultaneous safe and eecient operations...

Highway accidents significantly impact normal traffic flow. Consequently, automatic detection of abnormal traffic events has gradually attracted the attention of researchers interested in intelligent transportation system. This work presents a vision-based approach for automatic traffic congestion and incident detection. The proposed approach involves extracting entropy-based features to create...

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