Joint leisure travel optimization with user-generated data via perceived utility maximization
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- 作者：K. Gkiotsalitis ; kgki1987@central.ntua.gr" class="auth_mail" title="E-mail the corresponding author ; A. Stathopoulos a.stath@transport.ntua.gr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Joint travel optimization ; Social media ; Social networks ; Utility-maximization ; Stochastic search ; Pattern recognition
- 刊名：Transportation Research Part C: Emerging Technologies
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：68
- 期：Complete
- 页码：532-548
- 全文大小：2111 K
文摘
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A perceived utility model for individuals participating at joint leisure activities is proposed.
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Optimizing joint leisure activities in almost linear time with stochastic annealing.
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Showcasing up to 3 times perceived utility improvement of joint leisure activity participants.