Eco Transport System For Smart City

Abstract

AbstractTransportation system is a rudimentary part of logistics and strategy where vehicles are used to pass items or people from one place to another. Transportation system is planning tends to have several objectives, which customarily include: Traffic congestion reductions, improved safety for human lives, Energy conservation and Protect the Environment. Now in existing system, the delay of respective lights (GREEN and RED lights) is hard coded into controller and not dependent on traffic density so it causes to increase Traffic congestion(problem-l),existing traffic system is Unable to make a free path for emergency vehicles like ambulance(problem-2) and lighting technology on highway or streets leads to wastage of energy due to unnecessary glowing of street lights while absence of vehicle on roads(problem-3).I would like to propose "Eco Transport System for Smart City" to solve above mentioned existing problems. This work focuses on the algorithm for switching the traffic lights according to vehicle density (specially designed density sensors) on road, thereby aiming at reducing the traffic congestion on roads which will help lower the number of accidents. In turn it will provide safe transit to people and reduce fuel consumption and waiting time and this work focuses to provide communication between emergency vehicles and traffic signals to create a green corridor intelligently. Power wastage in street lights can be eliminated by employing smart street lights which senses the need of illumination and provide good visibility, safety and comfort to the vehicles/pedestrians at late hours. This is achieved by autonomous operation using Electronic Controller and HMI (Human Machine Interface), which is energy efficient and highly reliable.The entire traffic data will be made available on internet using a web application. Hence any driver who has access to these data can make decision on which lane to choose, helping him to choose a less busy road and reach the destination on time. Here this application is not communicated with the any "Google Maps". Mainly this work is aimed at designing and implementation of an automatic system where in the traffic congestion is reduced and wastage of time is greatly reduced by accessing it through android app. Lives at risk can be saved by giving more importance to emergency vehicles that which shows efficient traffic management system and reduces risks and this work significantly reduces power consumption caused by street lights.Keywords: Eco, Intelligent, density sensor, Traffic congestion, internet.

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