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

European Transport Research Review

Original Paper

Mahmoud Ameri¹  Reza Moayedfar²  Fatemeh Jafari³ 

[1] Civil Engineering, Transportation Research Institute, Center of Excellence for PMS, Transportation and Safety, Iran University of Science and Technology, Tehran, Iran;Transportation Engineering, Faculty of Engineering, Arak University, Arak, Iran;Transportation Engineering, Faculty of Engineering, Islamic Azad University, South of Tehran Branch, Tehran, Iran;

关键词: Capacity;    Level of service;    The neural network;    Percent time spent following;   

DOI  :  10.1007/s12544-013-0096-y

 received in 2012-09-16, accepted in 2013-02-06,  发布年份 2013

来源: Springer

【 摘 要 】

IntroductionThis study aimed to determine the capacity of two-lane suburban roads and its effect on level of service.Materials and methodsTraffic data used in this study prepared from statistics available at the site of road transport Organization and has been tried that the roads are selected from the various regions of level terrain, rolling terrain and mountainous. Because of advantage of the neural network approach than the classic methods, it is selected for determining of capacity.ResultsAs a result, the 5-7-1 structure was selected as the best structure to determine capacity. The method which is presented in HCM 2000 manual 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).ConclusionsThe 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 cause to decrease safety.

【 授权许可】

Unknown   
© The Author(s) 2013