Using GPS-based AVL Data to Calculate and Predict Traffic Network Performance Metrics: a Systematic Review

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Sandim, M (Author) Other; Rosaldo J. F. Rossetti (Author) FEUP; Moura, DC (Author) Other; Zafeiris Kokkinogenis (Author) Other; Rubio, TRPM (Author) Other

Conference proceedings International

Title: IEEE 19th International Conference on Intelligent Transportation Systems: Proceedings

Pages: 1692-1699

ITSC 2016 - 19th IEEE International Conference on Intelligent Transportation Systems

Rio de Janeiro, 1 de novembro de 2016

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 6 Citations

Other information

Authenticus ID: P-00M-CQ4

DOI: 10.1109/itsc.2016.7795786

Abstract (EN): Automatic Vehicle Location (AVL) is becoming an important tool in Intelligent Transportation Systems (ITS) in the past few years, as it is an effective way of collecting and transmitting data regarding the vehicle's trip for real-time or future use. A methodology for analyzing the state of the art regarding the application of these systems is proposed in a form of a systematic literature review, by identifying and systematizing possible transportation network performance metrics that can be calculated or predicted using GPS-based AVL systems and inferring tendencies observed throughout the literature regarding techniques used and sensor data source and usage. As a result of this research, several performance metrics were identified, with Travel Time and Average Speed being the most recurrent ones. The conclusions reveal an increase in the number of publications and research projects regarding this topic over the years, as well as a promising potential of this type of technology, with buses and taxis being the most used probe vehicles.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8