2012Journal of Transport Information and SafetyRequires access

Influence of Initial Conditions on Drivers' Day-to-Day Route Choice Behavior and Network Traffic flow Evolution

Hai Yan

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Abstract

From previous studies of drivers' day-to-day route choice behavior and network traffic flow evolution,it is assumed that the first day's perceived travel time on route is the same.In other words,the diversity of drivers is not taken into account in the initial conditions.Firstly,initial condition and drivers' day-to-day route choice process are modeled.Then,drivers' day-to-day route choice process in a simple road network with two parallel routes is simulated by Agent simulation method.The results show that the time required when network reaches equilibrium is significantly associated with drivers' reliance on the historical information but is not significantly associated with the differences of drivers' perceived travel time on routes on the first day.However,the difference between network equilibrium and user equilibrium is both significantly associated with the two factors.Moreover,although network equilibrium under different conditions is similar to user equilibrium,drivers' perceived travel time on the two routes is quite different when network reaches equilibrium.

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What this paper is about

From previous studies of drivers' day-to-day route choice behavior and network traffic flow evolution,it is assumed that the first day's perceived travel time on route is the same.In other words,the diversity of drivers is not taken into account in the initial conditions.Firstly,initial condition and drivers' day-to-day route choice process are modeled.Then,drivers' day-to-day route choice process in a simple road network with two parallel routes is simulated by Agent simulation method.The results show that the time required when network reaches equilibrium is significantly associated with drivers' reliance on the historical information but is not significantly associated with the differences of drivers' perceived travel time on routes on the first day.However,the difference between network equilibrium and user equilibrium is both significantly associated with the two factors.Moreover,although network equilibrium under different conditions is similar to user equilibrium,drivers' perceived travel time on the two routes is quite different when network reaches equilibrium.

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Available abstract

From previous studies of drivers' day-to-day route choice behavior and network traffic flow evolution,it is assumed that the first day's perceived travel time on route is the same.In other words,the diversity of drivers is not taken into account in the initial conditions.Firstly,initial condition and drivers' day-to-day route choice process are modeled.Then,drivers' day-to-day route choice process in a simple road network with two parallel routes is simulated by Agent simulation method.The results show that the time required when network reaches equilibrium is significantly associated with drivers' reliance on the historical information but is not significantly associated with the differences of drivers' perceived travel time on routes on the first day.However,the difference between network equilibrium and user equilibrium is both significantly associated with the two factors.Moreover,although network equilibrium under different conditions is similar to user equilibrium,drivers' perceived travel time on the two routes is quite different when network reaches equilibrium.

Key concepts: Travel time, Traffic network, Traffic flow (computer networking), Transport engineering, Day to day, Flow network, Diversity (politics), Computer science

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