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ECO TRANSPORT SYSTEM FOR SMART CITY

机译:智慧城市的生态运输系统

摘要

Abstract Transportation 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.
机译:摘要运输系统是物流和战略的基础部分,在该系统中,车辆用于将物品或人员从一个地方传递到另一个地方。交通运输系统的规划往往有几个目标,通常包括:减少交通拥堵,改善人命安全,节约能源和保护环境。现在,在现有系统中,各个信号灯(绿色和红色信号灯)的延迟被硬编码到控制器中,而与交通密度无关,因此导致交通拥堵(问题l)增加,现有交通系统无法建立自由路径对于急救车(问题2)和高速公路或街道上的照明技术,由于不必要的路灯发光而道路上没有车辆(问题3)会浪费能源。我想提出一种生态运输系统,用于智慧城市解决了上述现有问题。这项工作着重于根据道路上的车辆密度(特殊设计的密度传感器)切换交通灯的算法,从而旨在减少道路上的交通拥堵,这将有助于减少事故的发生。反过来,它将为人们提供安全的交通,并减少油耗和等待时间,这项工作的重点是提供紧急车辆和交通信号之间的通信,以智能地创建绿色走廊。可以通过使用智能路灯来消除路灯中的功率浪费,该智能路灯感应照明的需求,并在晚间为车辆/行人提供良好的视野,安全性和舒适性。这是通过使用电子控制器和HMI(人机界面)进行自主操作来实现的,这是节能且高度可靠的。整个交通数据将使用Web应用程序在Internet上提供。因此,任何有权访问这些数据的驾驶员都可以决定选择哪个车道,从而帮助他选择一条不太繁忙的道路并准时到达目的地。在这里,此应用程序不会与任何Google Maps通信。这项工作的主要目的是设计和实现一个自动化系统,该系统可通过android app访问该系统,从而减少交通拥堵,并大大减少时间浪费。通过更加重视应急车辆,可以挽救处于危险之中的生命,这显示了有效的交通管理系统并降低了风险,这项工作大大减少了路灯造成的功耗。关键字:生态,智能,密度传感器,交通拥堵,互联网。

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