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- 세미나 [04/16] A Big-Data Framework for Decision-Making in Transportation Systems
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- 2015.04.07
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*시간이 변경되어 다시 재공지 합니다.
16:00 부터 17:00 아닌, 17:00 ~ 18:00로 변경되었습니다.
< BK21 플러스 BEST 정보기술 사업단 세미나 개최 안내 >
개최일시 : 2015년 4월 16일 목요일 17시 ~ 18시
개최장소 : 제 2공학관 B701호
세미나 제목 : A Big-Data Framework for Decision-Making in Transportation Systems
발표초록 :
The vast amounts of transportation datasets (traffic flow, incidents, etc.) collected by various federal and state agencies are extremely valuable in real-time decision-making, planning, and management of the transportation systems. In this talk, I will argue that considering the large volume of the transportation data, variety of the data (different modalities and resolutions), and the velocity of the data arrival, developing a scalable system that allows for effective querying and analysis of both archived and real-time data is an intrinsically challenging BigData problem. Subsequently, I will present our end-to-end prototype systme, dubbed TransDec (short for Transportation Decision-Making), which enables real-time integration, visualization, querying, and analysis of these dynamic and archived transportation datasets. I will then discuss a GPS navigation application enabled by such a system and demonstrate its commercialization as a product called ClearPath .
Motivated by ClearPath, we will look under the hood and focus on a route-planning problem where the weights on the road-network edges vary as a function of time due to the variability of traffic congestion. I will show that naïve approaches to address this problem are either inaccurate or slow, leading to our new approach to this problem: A time-dependent A* algorithm.
강연자 : Prof. Cyrus Shahabi / University of Southern California
초청자 : 전기전자공학과 교수 이상훈