Abstract Dynamic Message Signs (DMS) on freeways are used to provide a variety of information to motorists including incident and construction information,

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Abstract Travel time based performance measures are widely used for transportation systems and particularly freeways. However, it has become evident that.
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Abstract Dynamic Message Signs (DMS) on freeways are used to provide a variety of information to motorists including incident and construction information, travel time estimates etc. The objective of this paper is to describe the development of an automated system for superimposing DMS messages on top of three-dimensional (contour) speed plots within an ITS data archive system. The new plotting system has been developed as an addition to the Portland Oregon Regional Transportation Archive Listing (PORTAL). PORTAL is the transportation data archive for the Portland metropolitan region and consists of a database of transportation data and a web-based interface providing graphical tools and data access for transportation managers, engineers and researchers. In order to aid operations personnel in the assessment of travel time message accuracy, the DMS messages are displayed as boxes that graphically represent the time, location and content of the message. Such a display can be used by traffic managers to visually assess the accuracy of DMS travel time messages. Introduction This paper presents the development of an on-line tool that incorporates a visual, automated method for assessing the appropriateness and general accuracy of messages using archived ITS data. The paper describes how data from the ATMS system have been parsed, cleaned, and archived in an automated manner. It then presents methods for graphically displaying these messages combined with other archived data to allow assessment. The paper highlights the graphical overlay of travel time messages on speed contour plots. This should allow traffic managers to visually verify the accuracy of travel time messages as part of ongoing operations improvements. Fig 1 An example variable message sign on I-5 N VMS locations around Portland, Oregon Fig 2 There are 34 DMS around Portland area. Only 3 of them display travel time. The locations of the VMS which display travel time are: I-5 Wilsonville,I-5 NB at Carmen and I-5 Terwilliger Table 1 Calculation of Predicated Average Speed and Deduction of DMS Message Color Extending the Use of Archived ITS Data As a Potential Management Tool to Evaluate Traveler Information on Dynamic Message Signs Paper No: Priya Chavan, Dr. Kristin Tufte, Max Stephens, Dr. Christopher Monsere, Dr Robert Bertini Portland State University DMS Location DMS Milepost Destination Destination Milepost Distance (miles) Estimated Travel Time Corresponding Average speed (mph) PORTAL DMS Message Color Wilsonville285.26Hwy min40.3Yellow Hwy min36.4Yellow Hwy min< 31.4Red/Yellow Hwy “.”>50Green Terwilliger298.38I min50.1Green I min41.0Yellow I min<36.4Red/Yellow I “.”>50Green Carman291I min49.5Green 291I min40.5Yellow 291I <36Red/Yellow 291I “.”>50Green Speed Contour Plot with overlaid VMS Messages Fig 3 Speed contour plot, Nov , I-5 South Bound,with travel time message Fig 4Speed contour plot, Feb , I-5 North Bound,with travel time message Speed Contour Plot with overlaid VMS Messages Informational Messages Fig 5 Speed contour plot, Sept , I-5 North Bound,with informational messages Conclusion The development of a graphical display of DMS messages overlaid on speed contour plots has been described. In this display, travel time and informational DMS messages are plotted on highway speed plots. Travel time messages are shown as color-coded boxes and Information messages are marked with + signs. In both cases, the location and time of the message is indicated by the position of the box or marker on the speed plot. The maps are dynamically generated based on DMS messages stored in the database. While not as robust as probe vehicle comparison, overlaying travel time messages on speed plots provides a straightforward method for comparing DMS messages to actual freeway travel conditions. The authors acknowledge the Oregon Department of Transportation for providing data and the National Science Foundation for funding under Grant No The authors thank Dennis Mitchell and Jack Merchant of ODOT for providing valuable input to the project. Acknowledgement