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Dynamic data driven transportation systems

Title
Dynamic data driven transportation systems
Author
서원호
Keywords
Data driven application systems; Real-time simulation; Transportation simulation; Distributed simulation
Issue Date
2018-01
Publisher
SPRINGER
Citation
MULTIMEDIA TOOLS AND APPLICATIONS, v. 76, No. 23, Page. 25253-25269
Abstract
Congestion-induced delays and pollution in modern transportation systems remain formidable impediments to the sustainable growth of our cities. Next generation Intelligent Transportation Systems (ITS) will attack these problems by relying on extensive in-vehicle sensing, crowd-sourced data, ubiquitous computing, and communications to augment existing infrastructure-based deployments. Advances in wireless networking and mobile computing have made it possible to create dynamic, data driven application systems (DDDAS) that address many challenges in modern transportation systems. We outline a vision for future dynamic data-driven transportation systems, and focus on the effectiveness of an approach to real-time management based on online simulations. The online simulations are embedded in the traffic network where distributed simulators perform the modeling task individually but project the future states collectively. A real-time data driven arterial simulation methodology is proposed to assist such computations that are performed over a testbed in the midtown area of Atlanta, Georgia. Field results are presented that provide evidence to validate the proposed approach.
URI
https://link.springer.com/article/10.1007/s11042-016-4318-xhttps://repository.hanyang.ac.kr/handle/20.500.11754/80955
ISSN
1380-7501
DOI
10.1007/s11042-016-4318-x
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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