外文翻譯---基于無線傳感器網(wǎng)絡(luò)技術(shù)的運(yùn)輸網(wǎng)絡(luò)智能引導(dǎo)及控制系統(tǒng)(已修改)
2025-06-01 10:09 本頁面
【正文】 英文原文 An Intelligent Guiding and Controlling System for Transportation Network Based on Wireless Sensor Network Technology Abstract This paper proposes architecture based on Wireless Sensor Network (WSN) technology for Intelligent Transportation System (ITS) of a transportation work. With the help of WSN technology, the traffic info of the work can be accurately measured in real time. Based on this architecture, an optimization algorithm is proposed to minimize the average travel time for the vehicles in the work. Compared to randomlychosen algorithm, simulation results show that the average speed of the road work is significantly improved by our algorithm, and thus improve the efficiency of the road work. Some extended applications of the proposed WSN system are discussed as well. 1. Introduction Transportation plays an important role in our modern society. How to efficiently exploit the transportation capacity of the existing transportation infrastructure receives a lot of attention from the researchers across the world. The Intelligent Transportation System (ITS) has been proposed by many researchers to solve the problem. ITS prises of three main subsystems. They are surveillance subsystem, analysis and strategy subsystem and execution subsystem. The execution subsystem can be a traffic control subsystem, a vehicle guiding subsystem, or a navigation subsystem. The surveillance subsystem measures the traffic information such as the vehicle39。s location, speed, number of the vehicles on the road, etc., using certain type of sensor, such as inductive loops [1] or ultrasonic sensor [2]. A new method based on video analysis is now under development [1。3]. The analysis and strategy subsystem optimizes the traffic flows based on the measurements from the surveillance subsystem. Various algorithms are proposed for this purpose, some typical examples follow. Papageorgiou et al. summaries some implementations on fixedtime strategies and trafficresponsive strategies for isolated strategies and coordinated strategies in [4]。 In [5], Shimizu et al. propose a balance control algorithm to optimize the congestion length of the whole transportation work。 in [6], Di Febbraro presents a hybrid Petri Net module to address the problem of intersection signal lights coordination. The control subsystem controls the signal lights on the intersection. The guiding subsystem provides the realtime traffic information for the drivers to select the best route. The navigation subsystem uses satellite signal such as GPS to locate the specific vehicle, and with the help of electronic map, select the optimal route for the vehicle. One shortage of the systems mentioned above is that the sensors can only detect the vehicles in a fixed spot. They can not track the vehicles out of the spot. Clearly, if we can monitor and measure the traffic status dynamically in real time, an efficient traffic control will be easier to realize. With the development of microelectronic and puter technologies, the lowpowerconsumption, lowcost and relatively powerful wireless sensor work (WSN) technology has been applied in many areas[79]. However, the application of WSN in the traffic control system is rarely documented. In [10], we proposed a WSNbased system for an efficient traffic control in an isolated road intersection. This paper extends our previous work to a transportation work. A WSNbased traffic control, guiding, and navigation system is proposed to optimize the traffic in a transportation work. The rest of this paper is organized as follows: Section 2 describes the structure of the proposed WSNbased traffic control syste
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