计算机工程

所属专题: 物联网专题

• 物联网专题 • 上一篇    下一篇

基于车联网的油耗检测及其时空分布研究

汪成亮,陈俊宏,张 晨   

  1. (重庆大学计算机学院,重庆 400044)
  • 收稿日期:2013-01-09 出版日期:2013-09-15 发布日期:2013-09-13
  • 作者简介:汪成亮(1975-),男,副教授、博士,主研方向:智能交通系统,物联网;陈俊宏、张 晨,硕士
  • 基金项目:

    国家自然科学基金资助项目(61004112)

Fuel Consumption Detection Based on Internet of Vehicles and Its Temporal-spatial Distribution Research

WANG Cheng-liang, CHEN Jun-hong, ZHANG Chen   

  1. (College of Computer Science, Chongqing University, Chongqing 400044, China)
  • Received:2013-01-09 Online:2013-09-15 Published:2013-09-13

摘要:

相对于传统的交通信息采集手段,无线射频识别(RFID)系统更实时、有效,但也存在所获取数据在空间和时间上离散的情况。为此,通过RFID系统的车联网模型,将采集的交通信息以路段为最小离散单位进行归类,根据高速路车辆油耗影响因素完成各类型车辆行驶状况的建模。按100 km油耗的评价指标,设计基于车联网的高速路油耗算法(FCIV),并基于该算法,通过数据可视化技术,直观地揭示单路段油耗情况、时间分布特征和空间分布变化规律。

关键词: 无线射频识别, 车联网, 交通信息, 油耗, 可视化表示, 时空分布, 智能交通系统

Abstract:

Compared with traditional methods of traffic information data collection, Radio Frequency Identification(RFID) system provides a better solution for the real-time condition. However, the collected data is discrete not only on temporal, but also on spatial. Though the RFID system, this paper aggregates the traffic data collected by Internet of Vehicles(IoV) using the road section as a minimum compartment, and obtains the driving models for various vehicles based on the statistics of vehicle fuel consumption on highway. Moreover, it proposes Fuel Consumption algorithm based on the Internet of Vehicle(FCIV), and uses visual representation technology, which directly reveals the change of the fuel consumption of every road section in highway, and the variation of the fuel consumption in spatial compartments by days of the week and hours of the day.

Key words: Radio Frequency Identification(RFID), Internet of Vehicle(IoV), traffic information, fuel consumption, visual representation, temporal-spatial distribution, Intelligent Transportation System(ITS)

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