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Models of freeway lane changing and gap acceptance behavior

Kashif Ahmed, Moshe Ben‐Akiva, Harilaos N Koutsopoulos, Rabi G. Mishalani

Open publisher page 225 citations

Abstract

Lane changing is an important component of microscopic traffic simulation models. In this paper a systematic approach for modeling lane changing behavior using a discrete choice framework is presented. Lane change is modeled as a sequence of three steps: decision to consider a lane change, choice of left or right lane, and search for an acceptable gap to execute the decision. Results from the estimation of the parameters of the gap acceptance model (using on-ramp merging data) show that in addition to the gap length, other important factors that affect drivers gap acceptance behavior are relative speed, distance remaining to the point at which lane change must be complete, and delay in completing merging. (A) For the covering abstract see IRRD 886400.

About this research paper

What this paper is about

Lane changing is an important component of microscopic traffic simulation models. In this paper a systematic approach for modeling lane changing behavior using a discrete choice framework is presented. Lane change is modeled as a sequence of three steps: decision to consider a lane change, choice of left or right lane, and search for an acceptable gap to execute the decision. Results from the estimation of the parameters of the gap acceptance model (using on-ramp merging data) show that in addition to the gap length, other important factors that affect drivers gap acceptance behavior are relative speed, distance remaining to the point at which lane change must be complete, and delay in completing merging. (A) For the covering abstract see IRRD 886400.

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OpenAlex reports 225 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Lane changing is an important component of microscopic traffic simulation models. In this paper a systematic approach for modeling lane changing behavior using a discrete choice framework is presented. Lane change is modeled as a sequence of three steps: decision to consider a lane change, choice of left or right lane, and search for an acceptable gap to execute the decision. Results from the estimation of the parameters of the gap acceptance model (using on-ramp merging data) show that in addition to the gap length, other important factors that affect drivers gap acceptance behavior are relative speed, distance remaining to the point at which lane change must be complete, and delay in completing merging. (A) For the covering abstract see IRRD 886400.

Key concepts: Computer science, Point (geometry), Sequence (biology), Simulation, Mathematics, Genetics, Geometry, Biology

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