A novel map matching algorithm for real-time location using low frequency floating trajectory data
- Title
- A novel map matching algorithm for real-time location using low frequency floating trajectory data
- Creator
- Sharma K.P.; Poonia R.C.; Sunda S.
- Description
- 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. Copyright 2023 Inderscience Enterprises Ltd.
- Source
- International Journal of Advanced Intelligence Paradigms, Vol-24, No. 45750, pp. 442-455.
- Date
- 2023-01-01
- Publisher
- Inderscience Publishers
- Subject
- clusters; confidence level; Euclidean distance; GAGAN; GPS trajectory; Kalman filter; map matching; perpendicular distance; signal frequency
- Coverage
- Sharma K.P., Amity Institute of Information Technology, Amity University, Rajasthan, Jaipur, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Sunda S., Space Applications Centre, Indian Space Research Organisation, Ahmedabad, India
- Rights
- Restricted Access
- Relation
- ISSN: 17550386
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Sharma K.P.; Poonia R.C.; Sunda S., “A novel map matching algorithm for real-time location using low frequency floating trajectory data,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/14625.