An Integrated Map-matching Algorithm Based on GPS
Bi Chen
Abstract
Bi Chen
Abstract
Map-matching is a technique that corrects positioning errors in navigation system by means of software. The paper presents an integrated map-matching algorithm for decreasing the false matching rate and increasing the effectiveness of map-matching. A higher matching speed and lower matching error rate is achieved through a comprehensive judging procedure which corrects different sections by different matching algorithms. The technique combines the vertical projection algorithm which has a high speed performance but high incorrect matching rate using the historical trajectory calculation algorithm which has a low speed performance but low incorrect matching rate. The actual matching results of the GPS trajectory data show that the presented technique has better matching effect in complex networks,especially in crossroads. The technique has higher efficiency and practical value.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Map-matching is a technique that corrects positioning errors in navigation system by means of software. The paper presents an integrated map-matching algorithm for decreasing the false matching rate and increasing the effectiveness of map-matching. A higher matching speed and lower matching error rate is achieved through a comprehensive judging procedure which corrects different sections by different matching algorithms. The technique combines the vertical projection algorithm which has a high speed performance but high incorrect matching rate using the historical trajectory calculation algorithm which has a low speed performance but low incorrect matching rate. The actual matching results of the GPS trajectory data show that the presented technique has better matching effect in complex networks,especially in crossroads. The technique has higher efficiency and practical value.
Key concepts: Map matching, Matching (statistics), Global Positioning System, Blossom algorithm, Computer science, Algorithm, Optimal matching, Trajectory