| 多元交通信息于车速数据融合系统之节能减碳应用研究 |
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| 引用本文： | 邓陈兴, 张琼文, 朱佩芸, 张芳旭, 陈国岳. 多元交通信息于车速数据融合系统之节能减碳应用研究[J]. 交通信息与安全, 2014, 32(6): 166-170. doi: 10.3963/j.issn.1674-4861.2014.06.027 |
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| 作者姓名： | 邓陈兴, 张琼文, 朱佩芸, 张芳旭, 陈国岳 |
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| 作者单位： | 中华电信研究院智慧联网所 台湾桃园 32601;“交通部”运输研究所综合技术组 台北;“交通部”运输研究所综合技术组 台北;“交通部”运输研究所综合技术组 台北;“交通部”运输研究所综合技术组 台北 |
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| 基金项目： | “交通部”运研所计划项目（批准号：MOTC-IOT-TDB003）资助 |
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| 摘 要： | 提出了1个经济可运作的实时动态节能减碳计算模型,用KPI来评估节能减碳效果,运作方式如下:配备GPS装置之实验车,后端软件自动动态搭配Google Map与路径图资之起讫点(A→B)来回一趟,才量该车之耗油量,由行前预估值、旅行时间、动态交通事件与实际油耗值之误差分析,在实时交通信息协助下选定之KPI (key performance index)值(含油耗、CO2排放量、道路等级、旅行时间及ETC (electronic toll collection)费用等)做比较.搜集对应环保路径之路网交通信息数据及交通信息建立历史数据库,配合时速/油耗表完成油耗/碳排放系统数据库,得出实时交通信息占比与油耗预估误差率关系图.
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| 关 键 词： | 智能型运输系统(ITS) 节能减碳 路径评估 KPI ETC API |
A Cost-Effective Tool and Database Demo System for ITS with Instant Traffic Information Help before Eco-driving |
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| DENG Chenxing, ZHANG Qiongwen, ZHU Peiyun, ZHANG Fangxu, CHEN Guoyue. A Cost-Effective Tool and Database Demo System for ITS with Instant Traffic Information Help before Eco-driving[J]. Journal of Transport Information and Safety, 2014, 32(6): 166-170. doi: 10.3963/j.issn.1674-4861.2014.06.027 |
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| Authors: | DENG Chenxing ZHANG Qiongwen ZHU Peiyun ZHANG Fangxu CHEN Guoyue |
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| Affiliation: | DENG Chenxing ZHANG Qiongwen ZHU Peiyun ZHANG Fangxu CHEN Guoyue(l. Chunghwa Telecom Telecommunication Libraries (CHTTL), Taoyuan 32601, Taiwan, China;2. Institute of Transportation (lOT), Ministry of Transportation and Communication (MOTC))＇, Taipei, Taiwan, China) |
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| Abstract: | This paper proposes a cost-effective operational tool with database demo system at KPI （Key Perform- ance Index） for eco-driving with given instant information help before journey. Equipped with GPS device＇s vehicles, and with back-end software cooperated with Google map, a geographical information system （GIS） is designed to measure fuel consumption based on the pre-selected points from A to B. The paper starts from selected journey with instant traffic info help to reduce fuel consumption, CO2 emission at traveling-time, dynamic traffic events and actual fuel consumption for error analysis. The errors with the selected KPI （including fuel consumption, CO2 emission, road-level, traveling time and ETC fee, etc. ） is collected to obtain the error rate relationship from the ratio of real instant traffic information and fuel consumption prediction. |
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| Keywords: | intelligent transportation systems （ITS） carbon reduction and energy saving route evaluation KPI ETC API |
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