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A case study of vehicular traffic congestion control using real-time systems approach

Posted on:2011-11-06Degree:M.SType:Thesis
University:Texas A&M University - KingsvilleCandidate:Jonnala, SatishFull Text:PDF
GTID:2442390002461360Subject:Engineering
Abstract/Summary:
This paper presents a study on an adaptive traffic signal green times and speed limits with respect to real time traffic using Real Time Systems approach. The operational objective is to maintain a consistent flow of traffic with minimum congestion possible over a focused network. The control algorithm is built on the Real Time Systems algorithms approach and the result is again revised using Heuristic pattern to get the best optimized result. This approach substantially reduces the congestion and maintains consistency over the network. For the effective traffic control we focus over an entire network instead of concentrating on a single junction where the congestion is occurred. This out of box thinking can give the best results by having a centralized control over the entire network, having the details of the traffic flow entering in to the network: a strategic schedule can be followed to manage the traffic flow driving out of the network. Dynamic allocation of green time, speed limits, automatic adjustment to control parameters, and fast revision of signal plans are proposed as a part of the traffic signal model in this research work.
Keywords/Search Tags:Traffic, Systems approach, Time systems, Congestion, Speed limits
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