Managing traffic congestion by using traffic control
M O Ghali
Abstract
M O Ghali
Abstract
There is an increasing determination to reduce congestion and other problems associated with the use of the motor car in cities; by encouraging mode shifts. The process of achieving beneficial changes in modal split between car and bus would perhaps be much accelerated if buses were now readily able to provide a fast and frequent service. Currently this ability is compromised by congestion. There are many possible methods of reducing congestion and improving the quality of public transport; some of these are expensive and long-term while others are comparatively low-cost and immediate. This paper gives an overview of some current research aimed at producing a low-cost method of: (i) reducing congestion, and (ii) managing congestion so as to reduce, particularly, the effects of congestion on public transport. The method is simply to use existing, and perhaps a few extra, traffic signals in a novel manner. (6 pages)
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There is an increasing determination to reduce congestion and other problems associated with the use of the motor car in cities; by encouraging mode shifts. The process of achieving beneficial changes in modal split between car and bus would perhaps be much accelerated if buses were now readily able to provide a fast and frequent service. Currently this ability is compromised by congestion. There are many possible methods of reducing congestion and improving the quality of public transport; some of these are expensive and long-term while others are comparatively low-cost and immediate. This paper gives an overview of some current research aimed at producing a low-cost method of: (i) reducing congestion, and (ii) managing congestion so as to reduce, particularly, the effects of congestion on public transport. The method is simply to use existing, and perhaps a few extra, traffic signals in a novel manner. (6 pages)
Key concepts: Computer science, Traffic congestion reconstruction with Kerner's three-phase theory, Computer network, Traffic congestion, Traffic optimization, Network congestion, Network traffic control, Floating car data