Modeling Within-day Dynamics in Activity Scheduling: A Markov Decision Process Approach

スポンサーリンク

概要

• 論文の詳細を見る

• This paper presents a modeling framework for the choice of activity type, timing and duration in activity scheduling. The traveler’s choice reveals a strong dependency on the time of day and the activities that have been pursed before the current choice. The traveler also exhibits forward-looking behavior, i.e. the traveler realize the impact of the current choice on the future utility and take into account the future utility that he can obtain. The focus of this paper is thus capturing these dynamics in activity scheduling and replicating the traveler’s daily activity plans. The activity scheduling behavior is formulated as a Markov Decision Process. Solution algorithms are developed for the model and numerical examples are presented.

著者

• XIONG Yiliang

  Dept. of Civil & Structural Engineering The Hong Kong Polytechnic University

• LAM William

  Dept. of Civil & Structural Engineering The Hong Kong Polytechnic University

関連論文

• Modeling Departure Time and Route Choice Problems in Stochastic Road Networks for Online ATIS Applications
• An Activity-Based Land Use and Transportation Optimization Model
• Modeling Within-day Dynamics in Activity Scheduling: A Markov Decision Process Approach
• SIMULTANEOUS ESTIMATION OF THE PEDESTRIAN ORIGIN-DESTINATION MATRIX AND PARAMETER OF THE ACTIVITY/DESTINATION CHOICE MODEL
• MODELLING THE EFFECTS OF MULTI-MODAL TRAVLER INFORMATION SYSTEMS

スポンサーリンク