Pedestrian Support in Intelligent Transportation Systems: Challenges, Solutions and Open issues

The increased urbanization and the drive for realizing smart cities have motivated extensive research and development in the realm of Intelligent Transportation Systems (ITS) in order to deal with the increased traffic intensity. Yet, the scope of ITS is not limited to vehicles, as pedestrians are special road users that play an important role in affecting traffic, road infrastructure, and vehicle design. Pedestrians are deemed to be the most vulnerable road users and are the major sufferers of road-incident fatalities and injuries each year. Therefore, quite a few studies have focused on pedestrian’s support and safety. On the other hand, due to imperceptible behavior, a pedestrian may also negatively impact traffic efficiency and can thus be viewed as an obstacle for fully realizing the advantages of ITS. In addition, more issues related to pedestrians have been raised with the emergence of Autonomous Vehicles (AVs). In this paper, the authors discuss different issues related to pedestrians as road users. Furthermore, the authors provide a comprehensive survey and classification of the different solutions of pedestrian protection. Finally, the authors highlight technical gaps and point out possible future research directions.

• Record URL:
  https://doi.org/10.1016/j.trc.2020.102856
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X20307567
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • El Hamdani, Sara
  • Benamar, Nabil
  • Younis, Mohamed
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: 102856
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 121
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Crash avoidance systems; Intelligent transportation systems; Obstructions (Navigation); Pedestrians; Urbanization; Vehicle to infrastructure communications; Vulnerable road users
• Subject Areas: Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01760453
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 26 2020 3:11PM