Quantitative Measures for GPS Based Road User Charging

被引：0

作者：

Feng, Shaojun ^{[1
]}

Ochieng, Washington ^{[1
]}

North, Robin ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, Ctr Transport Studies, London SW7 2AZ, England

来源：

PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS | 2008年

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The objective of this paper is to derive quantitative measures for Road User Charging (RUC). Instead of using complicated sensors to measure pollutant emissions and driver behavior, this paper uses Location, Velocity, Acceleration and Time (LVAT) determined by most widely used GPS receivers together with supporting information to derive indirect quantitative indicators for emissions and driver behavior. Test results show that most of the factors relevant to RIIC are highly correlated to LVAT. This should enable the implementation and operation of a simple and cos' effective variable RUC scheme based oil LVAT data derived from GPS measurements.

引用

页码：495 / 500

页数：6

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