Assessment of signal propagation in vehicular communications for dynamic data collection systems

Răzvan Andrei Gheorghiu, V. Iordache, M. Surugiu, I. Petrescu
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引用次数: 1

Abstract

The use of intelligent transport systems has a positive impact on the environment. As vehicle move in an optimized manner and travellers are advised to use the most suitable transport means to reach their intended destination, the travel times and congestions decrease, the fuel consumption also decrease and the emissions are reduced. The key element is to have knowledge about the transport system in order to be able to process and distribute the information to all the traffic participants. A wide-spread data collection system may provide information that, through integration in other Intelligent Transport Systems (ITS), will be able to provide an added value. Dynamic data collection systems, that imply information gathering along a route and data delivery in specific points (or continuously along the path) rely on communications that must ensure a proper handshake time and data rate to allow for all the relevant data to be sent. In different environments (city, highway etc.) where different speeds of vehicles have various influences on signal propagation, an initial evaluation of Doppler shifts of signal frequency depending on speed is important to reveal the probability for the receiver to be able to capture the modified signal. In this paper Doppler shifts tests have been performed for different speeds (inside and outside cities, highways) and conclusions are presented at the end.
动态数据采集系统中车载通信信号传播的评估
智能交通系统的使用对环境有积极的影响。车辆以最佳的方式行驶,并建议旅客使用最合适的交通工具到达目的地,从而减少了旅行时间和拥堵,减少了燃料消耗,减少了排放。关键要素是掌握交通系统的知识,以便能够处理和分发信息给所有交通参与者。广泛的数据收集系统可以提供信息,通过与其他智能运输系统(ITS)的整合,将能够提供附加价值。动态数据收集系统意味着沿着路线收集信息并在特定点(或沿着路径连续)传输数据,它依赖于必须确保适当的握手时间和数据速率以允许发送所有相关数据的通信。在不同的环境(城市、高速公路等)中,车辆的不同速度对信号传播有不同的影响,因此对信号频率随速度的多普勒频移进行初步评估对于揭示接收机能够捕获修改后的信号的概率非常重要。本文对不同速度(城市内外、高速公路)进行了多普勒频移试验,并给出了结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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