DRIVE Net: E-Science Transportation Platform for Data Sharing, Visualization, Modeling, and Analysis

In past decades, transportation research has been driven by mathematical equations and has relied on scarce data. With increasing amounts of data being collected from intelligent transportation system sensors, data-driven or data-based research is expected to expand soon. Most online systems are designed to handle one type of data, such as from freeway or arterial sensors. Even if transportation data are ubiquitous, data usability is difficult to improve. A framework is proposed for a regionwide web-based transportation decision system that adopts digital roadway maps as the base and provides data layers for integrating multiple data sources (e.g., traffic sensor, incident, accident, and travel time). This system, called the Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net), provides a practical method for facilitating data retrieval and integration and enhances data usability. Moreover, DRIVE Net offers a platform for optimizing transportation decisions that also serves as an ideal tool for visualizing historical observations spatially and temporally. Not only can DRIVE Net be used as a practical tool for various transportation analyses, with the use of its online computation engine, DRIVE Net can also help evaluate the benefit of a specific transportation solution. In its current implementation, DRIVE Net demonstrates potential to be used soon as a standard tool to incorporate more data sets from different fields (e.g., health and household data) and offer a platform for real-time decision making.

• Record URL:
  https://doi.org/10.3141/2215-04
• Summary URL:
  http://scholar.google.com/scholar_lookup?title=DRIVE+Net%3a+E-Science+Transportation+Platform+for+Data+Sharing%2c+Visualization%2c+Modeling%2c+and+Analysis&author=X.+Ma&author=Y.+Wu&author=Y.+Wang&publication_year=2011
• Availability:
  • Find a library where document is available. Order URL: http://www.trb.org/Main/Blurbs/Information_Systems_Geographic_Information_Systems_165941.aspx
• Authors:
  • Ma, Xiaolei
  • Wu, Yao-Jan
  • Wang, Yinhai
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Maps; References;
• Pagination: pp 37-49
• Monograph Title: Information Systems, Geographic Information Systems, and Advanced Computing 2011
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2215
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Data files; Data sharing; Decision support systems; Digital maps; Information retrieval; Traffic data; Transportation planning; Visualization
• Uncontrolled Terms: Computer platforms; Data integration; Web-based systems
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01334643
• Record Type: Publication
• ISBN: 9780309167291
• Report/Paper Numbers: 11-4106
• Files: TRIS, TRB, ATRI
• Created Date: Mar 31 2011 8:11AM