Abstract
While facing the needs for Vehicle Infrastructure Integration (VII) applications in traffic management, the paper deals with the problem of locating Road Side Units (RSU) for VII deployment. After analyzing the difference between traditional problems of locating traffic information detector and the problem of RSU location, a significance ranking model for RSU localization and three kinds of Significance Degree (SD) computing strategies are put forward. A VII simulation environment for the purpose of RSU localization optimization within VISSIM microscopic traffic simulation software is established developing add-on functions using VISSIM's Component Object Model (COM). A VII test bed of the Olympic Park network in Beijing is taken as an example to evaluate the performance of RSU localization model. The results of simulation experiments indicate that the mixed SD strategy considering both speed and route monitoring is superior to the other two SD strategies. Then, the impact of RSU number and OBE market penetration rate on the evaluation measures of traffic monitoring are studied with reference to the proposed mixed SD strategy. In this case, the evaluation measures of optimized RSU configurations generated by the ranking algorithm are always better than those of random RSU configurations. In addition, the benefits of optimized RSU configurations increase along with RSU number and market penetration rate while the benefits of random RSU configurations are more fluctuant.
Highlights
Over the past decade, the rapid development and application of electronic information and wireless communication technologies have promoted the continued deployment of Vehicle Infrastructure Integration (VII) based on vehicle-vehicle and vehicle-infrastructure communications
This paper describes the second stage of research effort aimed at developing an roadside unit (RSU) localization model and simulation optimization method
Using the above analysis as a basis, we propose a RSU localization ranking model for VII traffic monitoring applications
Summary
The rapid development and application of electronic information and wireless communication technologies have promoted the continued deployment of Vehicle Infrastructure Integration (VII) based on vehicle-vehicle and vehicle-infrastructure communications. Due to the possibilities of reducing the time of driver’s reaction, the capability of VII to enhance traffic mobility and safety has been demonstrated drawing considerable attention from governments, enterprises and research institutions. VII is expected to provide transportation managers with a complete awareness of motor vehicle movements by detecting probe vehicles equipped with on-board equipment (OBE) and enabling monitoring traffic network states. The placement of RSUs in a network is one of the most important considerations for VII deployment because this poses significant implications for VII traffic monitoring applications. In many existing VII test beds, the locations of RSUs are determined by empirical analysis, and only a few studies have focused on RSU location optimization (Amanna 2009; Tanikella et al 2007a, 2007b)
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