智能公共交通系统中超高频RFID实时乘客跟踪技术的性能评估

C. Oberli, D. Landau
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引用次数: 9

摘要

乘客统计是智能公共交通系统规划和运行的重要内容。然而,传统的点票系统无法识别单个乘客。利用这一额外容量,可以收集每位乘客运输需求的历史统计数据,从而大大增强这些系统的优化能力。为此,本研究提出了一种利用射频识别技术(RFID)进行乘客计数和身份识别的方法。40个人在他们的背包、钱包、口袋和手上携带EPC Gen2标签,通过一个与公共汽车门大小相似的入口,参与测量。评估一排和两排人通过入口的情况。这个传送门配备了4个读取天线。使用具有单个EPC Gen2标签的卡片以及具有Mifare和UHF EPC Gen2标签的卡片。本文给出了1、2、3和4天线所有组合的读卡量统计。双频卡的旅客检出率平均为82%,单频卡的旅客检出率为91%。当使用四根天线时,两种卡的检测百分比都增加了2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance evaluation of UHF RFID technologies for real-time passenger tracking in intelligent public transportation systems
Passenger counting is an important task for intelligent public transportation system¿s planning and operation. However, traditional counting systems can¿t identify individual passengers. The access to this additional capacity would allow collecting historical statistics on each passenger¿s transportation needs, hence enabling a substantially enhanced optimization in these systems. With this purpose, this work proposes a passenger counting and identification method through radio frequency identification technologies (RFID). Forty individuals are involved in measurements carrying EPC Gen2 tags in their backpacks, wallets, pocket and hand, passing through a portal with a similar size as a bus door. Conditions of one and two rows of persons walking through the portal are evaluated. This portal is equipped with 4 reading antennas. Cards that have a single EPC Gen2 tag and cards with both a Mifare and a UHF EPC Gen2 tag are used. Card reading statistics for all the combinations of 1, 2, 3 and 4 antennas are presented in this paper. The passenger detection percentage at the portal with two properly located antennas has an average of 82% for dual-band cards and 91% for single-band cards. When four antennas are used, there is an additional increase of 2% in the detection percentage for both types of cards.
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