Incident Detection by Spatiotemporal Analysis of GPS Data

被引：0

作者：

D'Andrea, Eleonora ^{[1
]}

Marcelloni, Francesco ^{[1
]}

机构：

[1] Univ Pisa, Dept Informat Engn, Largo Lucio Lazzarino 1, I-56122 Pisa, Italy

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP) | 2016年

关键词：

expert system; GPS; incident detection; urban mobility;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present a system to detect incidents causing traffic congestion in the road network by analyzing real-time GPS data. These data are collected from tracking devices installed in the vehicles or from drivers' smartphones. After positioning the GPS coordinates on the road map, the system assigns a traffic state to each road segment based on the velocities of vehicles, and generates alerts for incident based on a spatiotemporal analysis of these states. The system is validated by using GPS data simulated in typical traffic conditions in the city of Pisa, Italy. The results show an incident detection rate of 91.6% and an average detection time shorter than 7 minutes.

引用

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页码：26 / 30

页数：5

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