title: Capacity Estimation Model for Signalized Intersections under the Impact of Access Point.
abstract: Highway Capacity Manual 2010 provides various factors to adjust the base saturation flow rate for the capacity analysis of signalized intersections. No factors, however, is considered for the potential change of signalized intersections capacity caused by the access point closeing to the signalized intersection. This paper presented a theoretical model to estimate the lane group capacity at signalized intersections with the consideration of the effects of access points. Two scenarios of access point locations, upstream or downstream of the signalized intersection, and impacts of six types of access traffic flow are taken into account. The proposed capacity model was validated based on VISSIM simulation. Results of extensive numerical analysis reveal the substantial impact of access point on the capacity, which has an inverse correlation with both the number of major street lanes and the distance between the intersection and access point. Moreover, among the six types of access traffic flows, the access traffic flow 1 (right-turning traffic from major street), flow 4 (left-turning traffic from access point), and flow 5 (left-turning traffic from major street) cause a more significant effect on lane group capacity than others. Some guidance on the mitigation of the negative effect is provided for practitioners.
authors.affiliation: Department of Transportation Engineering, University of Shanghai for Science and Technology, Shanghai, P.R. China.
authors.forename: Jing
authors.initials: J
authors.lastname: Zhao
authors.affiliation: Department of Civil Engineering and Mechanics, University of Wisconsin at Milwaukee, Milwaukee, Wisconsin, United States of America.
authors.forename: Peng
authors.initials: P
authors.lastname: Li
authors.affiliation: Department of Transportation Engineering, University of Shanghai for Science and Technology, Shanghai, P.R. China.|School of Economics and Management, Shanghai Maritime University, Shanghai, P.R. China.
authors.forename: Xizhao
authors.initials: X
authors.lastname: Zhou
mesh_terms: D001334:Automobile Driving; D008962:Models, Theoretical