APOLO: A Mobility Pattern Analysis Approach to Improve Urban Mobility

Author(s)

Akabane, Ademar T. ; Gomes, Rafael L. ; Pazzi, Richard W. ; Madeira, Edmundo R. M. ; Villas, Leandro A. ; IEEE

• Document type: Journal article
• Source: GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE; v. N/A, p. 6-pg., 2017-01-01.

Abstract

Urban mobility becomes one of the most challenging issues in large urban centers, since traffic congestion is a daily problem. In order to address this issue, a number of researchers, from both academia and industry, have studied several Traffic Management Systems (TMS) approaches to improve urban mobility. However, the existing approaches do not consider an essential factor: the population information. Within this context, this work proposes a new approach, called APOLO, that employs historical knowledge of mobility patterns of the drivers to obtain a global view of road network. APOLO is different from others research approaches that need constant information exchange among the vehicles and the central server in order to obtain a global view of road traffic condition. These existing approaches can lead to network overload and have a high data processing cost in real-time. Results show that APOLO improves vehicles' mobility compared to well-known approaches, which indicates that APOLO could be a potential alternative for providing TMS services with valuable mobility knowledge. (AU)

• FAPESP's process: 16/24454-9 - In-network Data Aggregation in VANETs
• Grantee: Ademar Takeo Akabane
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• FAPESP's process: 15/25588-6 - Distributed information management in vehicular social networks
• Grantee: Ademar Takeo Akabane
• Support Opportunities: Scholarships in Brazil - Doctorate