Modeling longitudinal driving behaviors at defective sites on urban expressways

摘要: Understanding the psychological impacts of defect sites on drivers, and resulting driving behaviors are crucial to accident management traffic safety improvement. This paper presents a new flow model based two-lane cellular automaton model. In where finite number particles (e.g. vehicles) or incident sites) have different properties from rest these usually called defects. The defective site's impact is introduced, bringing changes acceleration, deceleration, random deceleration headway. At site, vehicles decelerate spontaneously. greater is, larger probability will be. Simulations proposed classic NaSch given. results suggest remaining capacity approximately 54.6% that Compared empirical data, can describe at site better than 2014 Elsevier B.V. All rights reserved. Language: en