Abstract

Incremental updating is an important technical method used to maintain the data of road networks. Topology conflict detection of multiscale road networks in incremental updating is an important link. Most of the previous algorithms focus on a single scale road network, which cannot be applied to topology conflict detection for different scale road networks during incremental updating. Therefore, this study proposes a topology conflict detection algorithm that considers the incremental updating of multiscale networks. The algorithm designs a K-order topological neighborhood to judge incremental neighborhood links and builds a topology refinement model based on geometric measurement. Furthermore, we propose a network topology conflict detection rule considering the influence of cartographic generalization operator and use the improved topological distance to detect topology conflicts. The experimental results show that (1) the overall accuracy and recall rate of the proposed method are more than 90%; (2) after considering the topology conflict caused by cartography generalization, the accuracy was increased by 29.2%; and (3) the value of average path length of a network can be used as the basis for setting the best K value.

Highlights

  • In recent years, location-based service (LBS) has become one of the most popular geographic information applications for the government and the public

  • (6 where Cn is the correct number of topology conflicts identified by the algorithm, Mn is the number of topology conflicts identified by the=algorithm, and An is the number of actual

  • The correct topology conflicts and the actual topology conflicts were counted by artificial visual interpretation from the road datasets

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Summary

Introduction

Location-based service (LBS) has become one of the most popular geographic information applications for the government and the public. There are a series of cartographic generalization operations, such as selection and simplification, which cause some problems in larger updated road network data. These problems are that the road network data of different scales before and after updating do not conform to the mapping rules or spatial cognition and can be defined as spatial conflicts. These spatial conflicts seriously affect the availability of road network data.

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