Demand Profiling for Dynamic Traffic Assignment by Integrating Departure Time Choice and Trip Distribution
作者：
Michael W. Levin*;Stephen D. Boyles;Jennifer Duthie;C. Matthew Pool
通讯作者：
Michael W. Levin
作者机构：
University of Texas at Austin, Austin, TX, USA
Network Modeling Center, Center for Transportation Research, University of Texas at Austin, Austin, TX, USA
Kimley-Horn and Associates, Fort Worth, TX, USA
通讯机构：
University of Texas at Austin, Austin, TX, USA
语种：
英文
关键词：
Computation time,Departure time choice,Dynamic traffic assignment(DTA),Dynamic traffic assignments,Origin-destination pairs,Penalty function,Time distribution,Trip distribution
期刊：
Computer-Aided Civil and Infrastructure Engineering
ISSN：
1093-9687
年：
2016
卷：
31
期：
2
页码：
86-99
摘要：
One challenge in dynamic traffic assignment (DTA) modeling is estimating the finely disaggregated trip matrix required by such models. In previous work, an exogenous time distribution profile for trip departure rates is applied uniformly across all origin-destination (O-D) pairs. This article develops an endogenous departure time choice model based on an arrival time penalty function incorporated into trip distribution, which results in distinct demand profiles by O-D pair. This yields a simultaneous departure time and trip choice making use of the time-varying travel times in DTA. The required input is arrival time preferences, which can be disaggregated by O-D pair and ...
