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基于用户激励机制的取货点推策略
Jing Zhang1, Biao Li1, Xiucai Ye2
1School of Computer Science and Mathematics, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fu Zhou, Fu Jian, China.
PeerJ. Computer science
|December 11, 2023
概括
本研究引入了一种新的接车点推策略,用于在线汽车呼叫服务. 它通过考虑用户激励和四维模型来优化驾驶员的效率并降低行程成本.
科学领域:
- 空间众包服务 (crowdsourcing) 是一种众包服务.
- 运输网络服务 运输网络服务
- 运营研究 运营研究
背景情况:
- 在线汽车呼叫是空间众包的一个关键应用.
- 现有的方法专注于任务分配,但忽视了最佳的接收点选择.
- 现实世界的场景需要考虑用户,工人,接送和目的地坐标.
研究的目的:
- 设计一个有效的接车点推策略,用于在线汽车呼叫.
- 通过采用四维方法来解决现有的空间众包模式的局限性.
- 通过激励用户到达合适的接送地点来优化任务分配.
主要方法:
- 开发了一种新的四维众包模型.
- 设计了一个以成本优化为重点的用户激励机制,并鼓励步行到取货点.
- 引入了"预期利率"的概念,以减少计算时间.
- 使用最大用户步行距离和任务成本作为关键推因素.
主要成果:
- 拟议的战略有效地推了接收点.
- 在驾驶员效率方面有明显的改进.
- 显示了总体订单旅行成本的减少.
- 验证了模型在现实世界的在线汽车呼叫场景中的实用性.
结论:
- 开发的接送点推策略提高了在线汽车呼叫的空间众包效率.
- 四维模型和激励机制有助于大大降低成本和提高运营绩效.
- 这项研究为优化乘车物流提供了一个实际的解决方案.
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