A Probabilistic Study of Map Matching for Transportation Applications

被引：0

作者：

Kumar, Prashant ^{[1
]}

Ganti, Radha Krishna ^{[1
]}

Raina, Gaurav ^{[1
]}

Jagannathan, Krishna ^{[1
]}

机构：

[1] IIT Madras, Dept Elect Engn, Madras, Tamil Nadu, India

来源：

2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2016年

关键词：

ALGORITHMS; DIRECTIONS;

D O I：

暂无

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

Map matching is an important part of map routing in modern transportation applications. In the map matching process, the effect of two main components, i.e. (i) the features of road networks, and (ii) the design aspects of geolocation services, is still not well understood. In this paper, using a combination of probabilistic analysis and simulations we study the effects of the above factors on the map matching process. Using a Maximum Aposteriori Probability (MAP) estimator, we offer some design guidelines that could improve the performance of map matching algorithms.

引用

页码：1330 / 1335

页数：6

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