PREDICTION OF SPEED FLOW IN THE ROAD NETWORK

Document Type : Original Article

Authors

1 Master of Civil Engineering, Department of Civil and Environmental Engineering, Amirkabir University of Technology.

2 Master of Civil Engineering, Islamic Azad University South Tehran Branch.

3 Master of Civil Engineering, Department of Civil Engineering, Iran University of Science and Technology.

Abstract

The purpose of this study is to provide a model to predict the speed of the traffic flow, in the road network. Using a neural network in which estimated relationship between the flow and traffic parameters including flow rate, volume flow percentage of heavy vehicles. The distinctive feature of this study with previous studies is using neural network model and the efficacy of both volume and percentage of heavy vehicles in estimating the flow rate. The data used in this study is derived from the output of loops in the road networks of Markazi province. The results of the modeling showed that by increasing the volume to capacity of up to 0.6, It is not seen a noticeable change in speed. And in these conditions and in the case of percentage of heavy vehicles is less than 10% of the flow rate, speed flow is more than 90% of the free flow speed. The results also showed that in the common day in the road network , the level of speed is on the A and B.

Keywords

References

[1] جلیل شاهی. مهندسی ترافیک پیشرفته، دانشگاه علم و صنعت ایران، 1385.
[2] خاکی؛ سرکار، 1390، تعیین رابطه سرعت وچگالی در بزرگراه‌های تحت سیستم مدیریت سرعت، ششمین کنگره ملی مهندسی عمران.
[3] سیف، ندیمی، 1392، تحلیل روابط میان پارامترهای ماکرو سکوپیک جریان ترافیک در شرایط مختلف، مطالعه موردی آزادراه قم- تهران، سیزدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک.
[4] Gerlough, D, and Huber, M, Traffic Flow Theory, Monograph, Special Report 165 Transportation Research Board National Research Council Washington, D.C., 1975, PP.49-96.
[5] Hall, F, Traffic Stream Characteristics, Hall, Professor McMaster University, Department Of Civil Engineering and Department Of Geography, 1280 Main Street Mest Hamilton, Ontario, Canada, 1975.
[6] May, A. Advanced Traffic Flow Theory. Prentice-Hall, Inc. New Jersey, 1990.
[7] Road Traffic Data: Collection Methods and Applications, Joint Research Centre(JRC),N1,2008.
[8] Traffic Engineering  ,Roger P.Roess ,Elena S .Prassas ,William R .McShane ,Pearson Prentice Education,Inc; 2004.
[9] Traffic Flow Theory: A State-of-the-Art Report, Oak Ridge National Laboratory, and Transportation Research Board/FHWA, June 1992 (available at http://www.fhwa.dot.gov/publications/research/operations/tft/, accessed November 2002.
[10] Wardrop, J.G ,Some Theoretical Aspects of Road Traffic Research ,Road Paper ,36 Proc.Instn.Civ. Engnrs,1998.
Send comment about this article
CAPTCHA Image

Files

Share

How to cite

Statistics