绿色vanets通信的数据传播:机会优化方法

D. Chandramohan, A. Dumka, V. Dhilipkumar, L. Jayakumar
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引用次数: 2

摘要

目的本文旨在预测交通流量并帮助找到解决方案。不可预测的交通导致更多的车辆上路。其结果是加剧交通拥堵的因素之一。当可用的运输资源比共享资源的车辆数量少时,就会发生交通拥堵。随着车辆数量的增加,资源变得稀缺,拥堵更加严重。设计/方法/方法随着人们向城市迁移以寻找工作和更好的生活方式,城市地区的人口不断增加。这导致了道路上车辆数量的增加。然而,与市民的需求相比,可供市民使用的交通网络较少。调查结果:对资源的需求高于道路和街道的实际承载能力。有些情况会加剧交通堵塞。情况可以是道路状况(坑洞和道路维修)、事故和一些自然灾害。独创性/价值有很多研究正在进行,以预测流量,并建立模型,以找到一个解决方案,这将使条件更好。然而,这仍然是一个悬而未决的问题。预测的准确性更低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data dissemination for green-VANETs communication: an opportunistic optimization approach
Purpose This paper aims to predict the traffic and helps to find a solution. Unpredictable traffic leads more vehicles on the road. The result of which is one of the factors that aggravate traffic congestion. Traffic congestion occurs when the available transport resources are less when compared to the number of vehicles that share the resource. As the number of vehicles increases the resources become scarce and congestion is more. Design/methodology/approach The population of the urban areas keeps increasing as the people move toward the cities in search of jobs and a better lifestyle. This leads to an increase in the number of vehicles on the road. However, the transport network, which is accessible to the citizens is less when compared to their demand. Findings The demand for resources is higher than the actual capacity of the roads and the streets. There are some circumstances, which will aggravate traffic congestion. The circumstances can be the road condition (pot holes and road repair), accidents and some natural calamities. Originality/value There is a lot of research being done to predict the traffic and model it to find a solution, which will make the condition better. However, still, it is an open issue. The accuracy of the predictions done is less.
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