无线传感器网络在可持续移动环境监测中的应用

S. Ullo, Mariano Gallo, G. Palmieri, Pietro Amenta, M. Russo, Giuseppe Romano, M. Ferrucci, Antonella Ferrara, M. Angelis
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引用次数: 25

摘要

本文提出了一个创新的公共交通系统的项目理念,该系统可能有助于增加可持续的机动性并减少交通对环境的影响。拟议的系统以使用低排放小型车辆为基础,沿着灵活的路线行驶,并考虑到交通拥堵和其他运输服务的可用性,实时调整以满足客户的要求。用户将通过手机应用程序提出乘车要求,该应用程序会给出他/她的位置,系统将根据所有用户的请求、车辆可用性、多式联运机会和交通拥堵情况提供服务。为了实施这一系统,掌握车辆位置、其他公共交通供应、交通和环境状况的实时信息至关重要。因此,分布式传感器网络监测环境是该项目的基本组成部分。本文的重点是监测系统,应该实施,以获得所有必要的实时信息,以保证可持续的流动性,按照项目目标。特别是,无线传感器网络(WSN)将用于收集实时交通和环境数据,以建立描述性和预测模型,以规划最佳路线,以减少道路拥堵,从而减少城市污染。本文是在NETCHIP研究项目的背景下开发的,该项目已提交给意大利PNR 2015-2020, 2017年7月13日的电话号码为1735。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of wireless sensor networks to environmental monitoring for sustainable mobility
This paper presents a project idea for an innovative public transport system that may contribute to increase sustainable mobility and reduce the environmental impacts of transports. The proposed system is based on the use of low-emission small vehicles following flexible routes, which will be adapted in real time so to satisfy the customer requests, considering traffic congestion and availability of other transport services. The user will require the ride through a mobile application, which gives his/her location, and the system will provide the service considering all users' requests, vehicle availability, intermodal opportunities and traffic congestion. To implement this system, it is crucial to have real-time information on vehicle positions, other public transit supply, traffic and environmental conditions. Therefore, a distributed sensor network monitoring the environment is a fundamental component of the project. This paper focuses on the monitoring system that should be implemented so to obtain all real-time information necessary to guarantee a sustainable mobility in accordance with the project objectives. In particular, a Wireless Sensor Network (WSN) will be used to gather real-time traffic and environmental data to build descriptive and predictive models to plan the best routes in order to reduce road congestion and consequently urban pollution. The paper is developed in the context of the NETCHIP research project, which has been submitted to Italian PNR 2015-2020, Call n. 1735 of the 13th July 2017.
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