A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data
A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data
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利用多源城市数据在按需乘车服务中寻求路线推荐的强制方法
DOI:
10.1109/tmc.2020.3033274
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发表时间:
2022-06
影响因子:
7.9
通讯作者:
Daqing Zhang
中科院分区:
文献类型:
--
作者:
Suiming Guo;Chao Chen;Jingyuan Wang;Yan Ding;Yaxiao Liu;Xu Ke;Zhiwen Yu;Daqing Zhang
The rapidly-growing business of ride-on-demand (RoD) service such as Uber, Lyft and Didi proves the effectiveness of their new service model – using mobile apps and dynamic pricing to coordinate between drivers, passengers and the service provider, to man
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DOI:
10.1145/3178876.3186134
发表时间:
2018-04
期刊:
Proceedings of the 2018 World Wide Web Conference
影响因子:
--
作者:
Shan Jiang;Le Chen;A. Mislove;Christo Wilson
通讯作者:
Shan Jiang;Le Chen;A. Mislove;Christo Wilson
DOI:
10.1145/37888.37918
发表时间:
1987-10
期刊:
24th ACM/IEEE Design Automation Conference
影响因子:
--
作者:
P. Paulin;J. Knight
通讯作者:
P. Paulin;J. Knight
DOI:
10.1145/3219819.3220055
发表时间:
2018-07
期刊:
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
影响因子:
--
作者:
Nandani Garg;Sayan Ranu
通讯作者:
Nandani Garg;Sayan Ranu
影响因子:
6.8
作者:
Rayle, Lisa;Dai, Danielle;Shaheen, Susan
通讯作者:
Shaheen, Susan
DOI:
--
发表时间:
2015-03
期刊:
ArXiv
影响因子:
--
作者:
V. Salnikov;R. Lambiotte;A. Noulas;C. Mascolo
通讯作者:
V. Salnikov;R. Lambiotte;A. Noulas;C. Mascolo