Digital roadway interactive visualization and evaluation network applications to WSDOT operational data usage.

Details

• Creators:
  Wang, Yinhai ; Zhang, Weibin ; Henrickson, Kristian ; Ke, Ruimin ; Cui, Zhiyong
• Corporate Creators:
  University of Washington. Smart Transportation Applications and Research Laboratory
• Corporate Contributors:
  Washington (State). Department of Transportation
• Subject/TRT Terms:
  • Decision support systems
  • Highway transportation
  • Highway traffic control
  • Highway traffic control systems
  • Advanced traffic management systems
  • Traffic simulation
  • Traffic models Freeway performance measurement
  • WSDOT Gray
  • Notebook
  • geospatial data fusion
  More +
• Publication/ Report Number:
  WA-RD 854.1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Washington;United States
• Corporate Publisher:
  Washington (State). Department of Transportation
• Abstract:
  DRIVE Net is a region-wide, Web-based transportation decision support system that adopts digital roadway maps as ; the base, and provides data layers for integrating and analyzing a variety of data sources (e.g., traffic sensors, incident ; records). Moreover, DRIVE Net offers a platform for streamlining transportation analysis and decision making, and it ; serves as a practical tool for visualizing historical observations spatially and temporally. In its current implementation, ; DRIVE Net demonstrates the potential to be used as a standard tool for incorporating multiple data sets from different ; fields and as a platform for real-time decision making. In comparison with the previous version, the new DRIVE Net ; system is now able to handle more complex computational tasks, perform large-scale spatial processing, and support ; data sharing services to provide a stable and interoperable platform to process, analyze, visualize, and share ; transportation data. ; DRIVE Net’s capabilities include generating statistics for WSDOT’s Gray Notebook (GNB), including travel times, ; throughput productivity, and traffic delay calculations for both general purpose and HOV lanes, each of which are ; important performance indicators in the WSDOT congestion report. The DRIVE Net system includes robust loop ; detector data processing and quality control methods to address the data quality issues impacting loop detectors ; throughout the state. The capabilities of the DRIVE Net system have been expanded to include safety modeling, ; hotspot identification, and incident induced delay estimation. Specifically, the Safety Performance module includes ; functions that can be used to obtain traffic incident frequency, apply predictive models to estimate the safety ; performance of road segments, and visualize and compare observed incident counts and different predictive models. ; Additionally, a module providing multi-modal data analysis and visualization capabilities was developed as a pilot ; experiment for integration of heterogeneous data. This module includes pedestrian and bicycle, public transit, park and ; ride, Car2Go, and ferry data downloading and visualization. DRIVE Net now offers role-based access control, such ; that access privileges to different functions and data resources can be assigned on a group or individual basis.
  More +
• Format:
  PDF
• Funding:
  Agreement T1461, Task 05
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32261/dot_32261_DS1.pdf
• File Type:
  [PDF - 4.80 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:5d262704db5e600e8643947e457f1ba6304841b5c900fae6a8abb0944a3d22c27b6e5fc2c42ef3001a06431e0704af7f8370001cd7da2e765ad2c994a832a9f6