Feasibility of traveling time estimation with mutual comparison of CVP, GVP and VD technologies

S. Tenqchen, Francis Chang, Kluo-Yueh Chen, Dong-Ling Wu, Shin-Hshun Huang
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Abstract

This paper proposes a feasibility study of traveling time estimation with mutual comparison of cellular-based vehicle probe (CVP), GPS-based Vehicle Probe and vehicle detection (VD) technologies. The travel time estimation algorithms have been designed for VD, CVP, GVP and some case in EVP (ETC-based Vehicle Probe). We have compared the system performance outputs at National Highway #1, Fast way #66, local governmental road #1 at Taoyuan to Jong-Li, and Sun-Moon Lake area on specific continuous holiday or working days. The outcome of this research is to target a CVP deployment with a percentage rate of 1%, a sample interval of 10 seconds and transmission interval of 30 seconds. Such a system will accurately determine the locations of both incidents and the tail end of traffic jams. It can be used to estimate travel times with mutual comparisons for VD, CVP, GVP, and EVP especially on continuous holidays. If we select the total # of NLU (number of location update) is less than 100 at local road section, then the CVP has good condition at traveling time estimation.
基于CVP、GVP和VD技术的行时估计的可行性
通过对基于蜂窝的车辆探测技术(CVP)、基于gps的车辆探测技术和车辆探测技术(VD)的相互比较,对车辆行驶时间估计进行了可行性研究。设计了VD、CVP、GVP以及EVP (ETC-based Vehicle Probe)中某些情况下的行程时间估计算法。在特定的连续假日或工作日,我们比较了1号国道、66号高速公路、桃园至钟里的1号地方政府公路和日月潭地区的系统性能输出。本研究的结果是目标CVP部署的百分比率为1%,采样间隔为10秒,传输间隔为30秒。这样的系统将准确地确定事故的位置和交通堵塞的尾部。通过相互比较VD、CVP、GVP和EVP,它可以用来估计旅行时间,特别是在连续假期。如果在局部路段选择NLU(位置更新次数)的总数小于100,则CVP具有良好的行驶时间估计条件。
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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