Congestion Behavior under Uncertainty on Morning Commute with Preferred Arrival Time Interval

LingLing Xiao, Ronghui Liu and Hai-Jun Huang ()

Discrete Dynamics in Nature and Society, 2014, vol. 2014, 1-9

Abstract:

This paper extends the bottleneck model to study congestion behavior of morning commute with flexible work schedule. The proposed model assumes a stochastic bottleneck capacity which follows a uniform distribution and homogeneous commuters who have the same preferred arrival time interval. The commuters are fully aware of the stochastic properties of travel time and schedule delay distributions at all departure times that emerge from day-to-day capacity variations. The commuters’ departure time choice follows user equilibrium (UE) principle in terms of the expected trip cost. Analytical and numerical solutions of this model are provided. The equilibrium departure time patterns are examined which show that the stochastic capacity increases the mean trip cost and lengthens the rush hour. The adoption of flexitime results in less congestion and more efficient use of bottleneck capacity than fixed-time work schedule. The longer the flexi-time interval is, the more uniformly distributed the departure times are.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:767851

DOI: 10.1155/2014/767851

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