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세미나 [04/16] A Big-Data Framework for Decision-Making in Transportation Systems
작성일
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 : 2015 4 16일 목요일 17 ~ 18

개최장소 :   2공학관 B701

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