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2007_6_Nr6_EEMJ

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Environmental Engineering and Management Journal November/December 2007, Vol.6, No.6, 563-566 http://omicron.ch.tuiasi.ro/EEMJ/ “Gh. Asachi” Technical University of Iasi, Romania ______________________________________________________________________________________________ URBAN TRAFFIC POLLUTION REDUCTION USING AN INTELLIGENT VIDEO SEMAPHORING SYSTEM Codrin Donciu ∗ , Marinel Temneanu, Marius Brînzilă “Gh. Asachi” Technical University of Iasi, 53 Mangeron Blvd., 700050, Iasi, Romania Abstract The present paper suggests making an intelligent video system of command over crossroads with traffic lights, its main goal being diminishing road congestion, a better traffic speed of vehicles, diminishing the environment pollution and improvement of negative effects that vehicle concentration has over the physical and psychological state of the population. Key words: vision, image processing, segmentation 1. Introduction On a global level, after the Bureau of Transportation Statistics, Ward's, Motor Vehicle Facts & Figures 2006, total production of automobiles (both for passengers and trade) gas grown from 15.200 thousands automobiles in 1961, reaching values of 33.401 thousands in 1971, 37.136 thousands in 1981, 47.283 thousands in 1991, 57.528 thousands in 2000 and finally 65.750 thousands auto vehicles in 2005 as shown in Fig. 1. It is notable that the entire auto-park of the rolling vehicles is obtained by summing the production for a number of years equal to the average of vehicles circulation, a specific average for each country (Chen et al., 2000). Fig. 1. Global vehicle production The exponential growth of the last decade of the rolling vehicle number, on both national and global level, is, among other factors, an important cause of chemo-physical pollution level growth, of augmentation of global warming, of phonic pollution and of stress risk factor enlargement (Dementhon et al., 2000). Further more, as noticed in Fig. 2, the waiting of the cars with the engine on, or the rolling with speeds below 12km/h induces a fast growth of CO, organic volatile substances and azotes oxides emissions (Fan et al., 2000). In this context, this project suggests making an intelligent command video system of the trafficlighted crossroads, its main goal being to diminish of traffic congestions, to improve vehicle speed, to reduce environment pollution and to improve negative effects of traffic congestion over the physic and psychic state of the population (Ferman et al., 1997). On international level, automatic advanced command systems of crossroad traffic-lightening have a bigger spread. They are classified according to the physical area of sensible elements mounting (sensors and traitors) and can be placed: at the traffic rolling level, in the pavement or along the traffic lanes. Detection throughout pavement mounted sensors is the most commonly used technology in the present (Haritaoglu et al., 2000). ∗ Author to whom all correspondence should be addressed: cdonciu@ee.tuiuasi.ro

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