The Third Workshop on Data-driven Intelligent Transportation
The Third Workshop on Data-driven Intelligent Transportation
复制标题
第三届数据驱动智能交通研讨会
DOI：
10.1145/3511808.3557496
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Li, Zhenhui
中科院分区：
文献类型：
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作者：
Wei, Hua;Sheron, Guni;Wu, Cathy;Chawla, Sanjay;Li, Zhenhui
交通是城市的脉搏。运输系统可以涉及人、车辆、货物、信息技术和物理基础设施，所有这些都以复杂的方式相互作用。智能交通使城市以更高效和有效的方式运作。各种各样的城市数据变得越来越可用，例如出租车行程、监控摄像头数据、来自移动电话或基于位置的服务的人类移动数据、来自社交媒体的事件、车祸报告、自行车共享信息、兴趣点、交通传感器、公共交通数据等等。如此丰富的数据给CIKM研究界带来了巨大的挑战：如何利用这些数据来实现城市智能，跨越各种交通任务？第三届“数据驱动的智能交通”研讨会欢迎交通系统、数据挖掘和人工智能领域的文章和演讲，传达理论、建模、仿真、测试、案例研究以及大规模部署方面的新进展和发展。
Traffic is the pulse of the city. Transportation systems can involve humans, vehicles, shipments, information technology, and the physical infrastructure, all interacting in complex ways. Intelligent transportation enables the city to function in a more efficient and effective way. A wide range of city data become increasingly available, such as taxi trips, surveillance camera data, human mobility data from mobile phones or location-based services, events from social media, car accident reports, bike-sharing information, Points-Of-Interest, traffic sensors, public transportation data, and many more. This abundance of data poses a grand challenge to the CIKM research community: How to utilize such data toward city intelligence, across various transportation tasks? The 3rd workshop of "Data-driven Intelligent Transportation" welcomes articles and presentations in the areas of transportation systems, data mining, and artificial intelligence, conveying new advances and developments in theory, modeling, simulation, testing, case studies, as well as large-scale deployment.