CDOT Performance Data Business Plan - Cambridge Systematics

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CDOT Performance Data Business Plan Grade Threshold A 90 – 100 B 80 – 89 C 70 – 79 D 60 – 69 F < 60 Current Value: Rural 8.4% congested / Urban 45.5% congested Value Based on Recommendation: Rural – A / Urban – F Owner: Mehdi Baziar Required Data Item Source Owner Roadway segment ID TRAFFON Information Management Branch Roadway segment region/MPO area TRAFFON Information Management Branch Roadway segment vehicle miles traveled (VMT) Average vehicle occupancy rate by region/MPO area TRAFFON TRAFFON Information Management Branch Information Management Branch Roadway segment volume/capacity ratio TRAFFON Information Management Branch Roadway segment urban/rural designation IRIS Information Management Branch Unit of Measure: Grade Calculation: 1. Determine urban and rural VMT and perform the remainder of the steps for each group separately. 2. Calculate PMT for each segment as follows: 3. Calculate percent PMT on rural roads as follows: ∑ / . ∑ 100 Calculate percent PMT on urban roads as follows: ∑ / . ∑ 100 4. Convert the results to a letter grade using the thresholds defined above. Update Frequency: Annual 3-16 Cambridge Systematics, Inc.
CDOT Performance Data Business Plan Additional Notes: In locations with permanent traffic counters, V/C is based on the 30th highest hour. In other locations, it is based on the highest peak hour. CDOT needs to begin including system operation improvements such as managed lanes, variable speed limits, and adaptive traffic signalization in the planning process. Appropriate performance measures need to be adopted to monitor, measure and track the success of these projects in terms of improving mobility and improving congestion. The most appropriate measure to accomplish this is travel time reliability. In a broader sense, reliability is a dimension or attribute of mobility and congestion. Traditionally, the dimensions of congestion have been spatial (how much of the system is congested?) (represented by measure one above), temporal (how long does congestion last?), and severity-related (how much delay is there or how low are travel speeds?) (represented by measure two above). Reliability adds a fourth dimension: how does congestion change from day to day? The recommended measure is: Planning Time Index 95 th percentile Travel Time Index (95th percentile travel time divided by the free flow travel time) In general, reliability is defined as the variation in that performance measure over a specified period of time, whether speaking in terms of travel times, delay, stops, queues, speeds or any other transportation performance measure. “Variability” and “reliability” are interchangeable terms and refer to performance, regardless of how performance is measured or predicted. To be more specific, travel time reliability relates to the how travel times for a given trip and time period perform over time. For measuring reliability, a “trip” can occur on a specific highway section, any subset of the transportation network, or can be broadened to include a traveler’s initial origin and final destination. Reliability (more appropriately, unreliability) is caused by the interaction of the factors that influence travel times: fluctuations in demand, traffic control devices, traffic incidents, inclement weather, work zones, and physical capacity (based on prevailing geometrics and traffic patterns). From a measurement perspective, reliability is quantified from the distribution of travel times, for a given facility/trip and time slice, that occurs over a significant span of time; one year is generally long enough to capture nearly all of the variability caused by disruptions. A variety of different metrics can be computed once the travel time distribution has been established. The Planning Time Index was calculated from actual data for the period from November 1, 2010 through October 31, 2011 covering I-70 from Denver International Airport to Vail in both directions. The values and maps showing peak hour Planning Time Indices are included in Appendix G. Cambridge Systematics, Inc. 3-17
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Figure 5.18 CDOT Dashboard Example
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Appendices A. Additional Data Colle
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Appendices Recognize and Plan
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Appendices Improved communication
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Appendices Planning Ext Planning In
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Appendices Person, Ron, Balanced Sc
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Appendices CDOT is required to rep
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Appendices How and when they ar
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Appendices If measures reported by
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Appendices INTEGRATE REGIONAL AND S
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Appendices Maintain or improve
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Appendices F. Sample Data Governanc
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Appendices G. Congestion The report
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Appendices Table G-1 Revised Segmen
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Appendices Results The following ta
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Appendices Figure G-1 Speed Eastbou
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Appendices Figure G-5 Speed Westbou
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Appendices A useful format for the
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Appendices Figure G-13 AM Peak PTI
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Appendices H. Calculation Spreadshe
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Appendices Cambridge Systematics, I
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