Transport is one of the key elements in development any country; it can be a powerful catalyst for economic growth. However, infrastructure does not give enough to huge number vehicles which produces several problems, particularly terms road safety, and loss time pollution. One most significant problems congestion, this major handicap transport system. An alternative would use new technologies ...

short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. the strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. this paper establishes the applicatio...

Drivers in urban neighborhoods who cruise streets, seeking inexpensive on-street parking create a significant fraction of measured traffic congestion. The solution to this problem is to reduce the total traffic volume including cruising traffic by implementing a congestion pricing scheme: the imposition of a usage fee on a limited-capacity resource during times of high demand. We review the his...

In case that malicious or selfish user congests network, the traditional congestion control schemes such as ECN (Explicit Congestion Notification) in TCP protocol could not control the pernicious congestion so perfectly as they protect normal traffic. In this paper, we propose a strong congestion-making traffic control scheme, which is capable of preventing malicious or selfish user from conges...

Short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. The strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. This paper establishes the applicatio...

This paper presents the model and algorithms for traffic flow data monitoring and optimal traffic light control based on wireless sensor networks. Given the scenario that sensor nodes are sparsely deployed along the segments between signalized intersections, an analytical model is built using continuum traffic equation and develops the method to estimate traffic parameter with the scattered sen...

Traffic congestion is one of the most serious problems that impact urban transportation efficiency, especially in big cities. Identifying traffic congestion locations and occurring patterns is a prerequisite for urban transportation managers in order to take proper countermeasures for mitigating traffic congestion. In this study, the historical GPS sensing data of about 12,000 taxi floating car...

The objective of this paper is to define extension traffic simulation system (ETSS) and define analysis method and data required for traffic congestion analysis which is the focus of the research. As a benchmark, to better understand road traffic management, road traffic management is defined and how it has evolved over time. Research show that traffic congestion when happened, where, how, why,...

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...

Stop and go traffic that leads to oscillate traffic flow frequently is observed on congestion flow. Unexpected reasons such as lane – changing maneuvers, lower speeds of leader vehicle and moving bottleneck cause stop and go traffic and amplifying delay and environment impacts. Stop and go traffic exactly can’t be modeled by traffic models, and also car following models based on kinematic flow ...