Fleet control algorithms for automated mobility: A simulation assessment for Zurich

Fleet control algorithms for automated mobility: A simulation assessment for Zurich
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自动移动的车队控制算法：苏黎世的模拟评估

DOI：
10.3929/ethz-b-000254412
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发表时间：
2017
期刊：
Transp. Sci.
影响因子：
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通讯作者：
K. Axhausen
K. Axhausen
中科院分区：
--
文献类型：
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作者：
S. Hörl;Claudio Ruch;Felix Becker;Emilio Frazzoli;K. Axhausen

文献摘要

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1在模拟环境中评估了4种不同的ff调度和再平衡算法用于控制自动按需移动系统的性能。用苏黎世基于代理的模拟场景进行的案例3研究表明，4选择智能再平衡算法可以减少系统中的平均等待时间。5对于高峰时段四分钟的等待时间，性能最好的算法要求每辆车公里的价格与今天的私家车相同。结果表明，这种自动化的7移动性随需应变服务可以在保持比传统8辆私家车更高的fleET占有率的同时进行操作。9.
1 The performance of four different dispatching and rebalancing algorithms for the control of 2 an automated mobility-on-demand system is evaluated in a simulation environment. The case 3 study conducted with an agent-based simulation scenario of the city of Zurich shows that the 4 choice of an intelligent rebalancing algorithm decreases the average wait time in the system. 5 For a wait time of four minutes at peak hours the most performant algorithm requires the same 6 price per vehicle kilometer as a private car today. The results show that such an automated 7 mobility on demand service can be offered while maintaining a higher fleet occupancy than with 8 conventional private cars. 9