Estimating Delay of Vehicles in Nearside Legs of the Signalized Intersections under Expectation Method in Under-Saturation Conditions for Isolated Intersection

  • Iraj Bargegol Department of Civil Engineering, Faculty of Engineering University of Guilan, Rasht, Iran.
  • Vahid Najafi Moghaddam Gilani Highway & Transportation Engineering, Faculty of Engineering University of Guilan, Rasht, Iran.

Abstract

Signalized intersections are essential elements of road transport in cities, thus providing condition in which these key elements have optimal performance in different traffic conditions has always been a concern for traffic engineers. Normally, Average vehicle control delay (delay due to the presence of traffic lights) is used as performance indicators on signalized intersections that is estimated using a lot of equations, including the Webster, Green Shields and the equation described in the book "Highway Capacity Manual". But in these equations no place is include for the distribution of vehicles on the routes leading to the signalized intersections. Ignoring this issue could lead to a false estimate of the average amount of delay on the signalized intersections because of the type of their entrance resulting in inefficient operation of the intersection. Using Expectation Method, this paper proposes a better estimate of the amount of delay on the vehicles in signalized intersections, depending on frequency of entrance to the intersection. In the end it will be found out that different frequency distribution of vehicles at nearside legs of intersection lead to different delay estimates of vehicles.

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Published
Dec 30, 2015
How to Cite
BARGEGOL, Iraj; MOGHADDAM GILANI, Vahid Najafi. Estimating Delay of Vehicles in Nearside Legs of the Signalized Intersections under Expectation Method in Under-Saturation Conditions for Isolated Intersection. Trends Journal of Sciences Research, [S.l.], v. 2, n. 4, p. 121-125, dec. 2015. ISSN 2377-8083. Available at: <http://tjsr.org/journal/index.php/tjsr/article/view/27>. Date accessed: 25 june 2018.
Section
Research Articles