학술논문

Application of wireless sensor networks to environmental monitoring for sustainable mobility
Document Type
Conference
Source
2018 IEEE International Conference on Environmental Engineering (EE) Environmental Engineering (EE), 2018 IEEE International Conference on. :1-7 Mar, 2018
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Real-time systems
Wireless sensor networks
Predictive models
Computational modeling
Load modeling
Numerical models
Proposals
Language
Abstract
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.