A Passengers Matching Problem in Ridesharing Systems by Considering User Preference
A Passengers Matching Problem in Ridesharing Systems by Considering User Preference
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DOI：
10.11175/easts.11.1416
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Phathinan Thaithatkul;Toru Seo;Takahiko Kusakabe;Y. Asakura
中科院分区：
文献类型：
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作者：
Phathinan Thaithatkul;Toru Seo;Takahiko Kusakabe;Y. Asakura
拼车系统已被视为一种解决环境、能源和交通拥堵问题的高效交通模式。在近期的研究中，用户偏好被揭示为提高拼车系统性能和可靠性的一个重要因素。随着信息和通信技术（ICT）的发展，联网设备和社交网络使我们能够获取实时出行信息以及用户的个性特征。因此，本研究考虑了基于用户个性的用户偏好。本研究的目的是通过考虑用户偏好构建乘客之间的匹配模型，并研究用户偏好如何影响拼车系统的性能。针对一对一乘客匹配问题，对解决稳定室友问题的算法进行了修改。用户偏好的因素包括个性以及用户个性的稳定性。数值实验结果表明，用户个性的稳定性对个人和系统成功率均有影响，而个性仅对系统成功率有影响。
Ridesharing system has been recognized as an efficient transport mode to solve the environment, energy, traffic congestion issues. In recent researches, user preference was revealed as an important factor to enhance the performance and reliability of ridesharing systems. With the development in information and communication technologies (ICT), internet-enabled devices and social network enable us to obtain real-time travel information and users' personality. Therefore, user preference based on their personality is considered in this study. The aims of this study are to formulate a matching model between passengers by considering user preference and to investigate how user preference affects ridesharing system's performance. The algorithm for solving stable roommates problem is modified for one-on-one passengers matching problem. The factors of user preference are personality and steadiness of user personality. The results of numerical experiments showed that steadiness of user personality affected to both individual and system success rate, while personality only affected to system success rate.