Special Design for Professional Manufacturer for Professional China 12 Years Manufacturer New arrival 300mm red green traffic light countdown timer lampwick Factory for Karachi Wholesale to Toronto in Guatemala Supply to Suriname
Name New model 300mm countdown timer lampwick led traffic light Material PC LED QTY 56pcs each color Lamp diameter 300mm LED luminous red:620-625nm G:500-505NM Wave length red: 4000-5000mcd G:8000-10000mcd Life span 3-5 years NET Weight 1KG visual angle 30 °C Visual distance 800m Warranty 2years Working temperature -40℃–+50℃ LED type Taiwan Epistar
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|Name||New model 300mm countdown timer lampwick led traffic light|
|LED QTY||56pcs each color|
|LED luminous||red:620-625nm G:500-505NM|
|Wave length||red: 4000-5000mcd G:8000-10000mcd|
|Life span||3-5 years|
|visual angle||30 °C|
|LED type||Taiwan Epistar|
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A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion
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JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank.
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As the number of vehicles grows rapidly each year, more and more traffic congestion occurs, becoming a big issue for civil engineers in almost all metropolitan cities. In this paper, we propose a novel pheromone-based traffic management framework for reducing traffic congestion, which unifies the strategies of both dynamic vehicle rerouting and traffic light control. Specifically, each vehicle, represented as an agent, deposits digital pheromones over its route, while roadside infrastructure agents collect the pheromones and fuse them to evaluate real-time traffic conditions as well as to predict expected road congestion levels in near future. Once road congestion is predicted, a proactive vehicle rerouting strategy based on global distance and local pheromone is employed to assign alternative routes to selected vehicles before they enter congested roads. In the meanwhile, traffic light control agents take online strategies to further alleviate traffic congestion levels. We propose and evaluate two traffic light control strategies, depending on whether or not to consider downstream traffic conditions. The unified pheromone-based traffic management framework is compared with seven other approaches in simulation environments. Experimental results show that the proposed framework outperforms other approaches in terms of traffic congestion levels and several other transportation metrics, such as air pollution and fuel consumption. Moreover, experiments over various compliance and penetration rates show the robustness of the proposed framework.
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