Title: A novel map matching algorithm for real-time location using low frequency floating trajectory data

Authors: Kanta Prasad Sharma; Ramesh Chandra Poonia; Surendra Sunda

Addresses: Amity Institute of Information Technology, Amity University Rajasthan, Jaipur, India ' Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka-560029, India ' Space Applications Centre, Indian Space Research Organisation, Ahmedabad, India

Abstract: The continuous enhancement of technologies and modern well-equipped infrastructures are necessary for easy life. Road accident and missing vehicle ratio are very challenging in preventing misshapenness because these are continually increasing due to traffic hazards. The single way to protect human life from such type of conditions that is more reliable navigation services such as correct location tracking of vehicles on the road network. The real-time location tracking methods fully depends on the map matching algorithms, which also compute a reliable path on the road network. A smart vehicle can provide more reliable tracking services during or before any misshaping using proposed map matching algorithm. This work contributes to ensure correct location for necessary action during misshaping, alert accident zone and communicate messages without wasting valuable time. The proposed approach is validated on the real tracking data and is compared against poor GPS service.

Keywords: map matching; confidence level; GAGAN; GPS trajectory; perpendicular distance; Euclidean distance; signal frequency; Kalman filter; clusters.

DOI: 10.1504/IJAIP.2023.129188

International Journal of Advanced Intelligence Paradigms, 2023 Vol.24 No.3/4, pp.442 - 455

Received: 16 Oct 2017
Accepted: 04 Mar 2018

Published online: 01 Mar 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article