Determination the capacity of two-lane suburban roads with neural networks and effect of speed on level of service

This study aimed to determine the capacity of two-lane suburban roads and its effect on level of service. Traffic data used in this study was prepared from statistics available at the site of road transport organization, and the roads tested were selected from the various regions of level terrain, rolling terrain, and mountainous. Because of the advantage of the neural network approach over the classic methods, it was selected for determining of capacity. As a result, the 5-7-1 structure was selected as the best structure to determine capacity. The method presented in HCM (Highway Capacity Manual) 2000 was used to determine the level of service. This method determines the level of service based on percent time spent following (PTSF) and average travel speed (ATS). The results show that level of service based on average travel speed is better than the level of service based on percent time spent following and this is indicative that drivers move with higher average speed than prevailing condition and it leads to a decrease in safety.

• Record URL:
  • https://doi.org/10.1007/s12544-013-0096-y
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18668887
• Supplemental Notes:
  • © 2013 Mahmoud Ameri et al.
• Authors:
  • Ameri, Mahmoud
  • Moayedfar, Reza
  • Jafari, Fatemeh
• Publication Date: 2013-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 179-184
• Serial:
  • European Transport Research Review
  • Volume: 5
  • Issue Number: 4
  • Publisher: Springer Publishing
  • ISSN: 1866-8887
  • EISSN: 1867-0717
  • Serial URL: http://link.springer.com/journal/12544
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Highway capacity; Level of service; Neural networks; Speed; Suburbs; Traffic data; Two lane highways
• Identifier Terms: Highway Capacity Manual 2000
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01502189
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 23 2013 10:38AM