Validation of Urban Freeway Models (2014) / Chapter Skim
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Pages 48-64
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48 Purpose The purpose of this document is to detail the data collection and analysis plans for performing the validation of the L03 data-rich and data-poor models. As such, this document contains three sections.
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49 Proposed Regions Overview This section details the characteristics of the metropolitan areas and data sets that the L33 team has identified as suitable for use in the model validation and/or enhancement stages of this project. The L33 team has identified 10 metropolitan areas from which to acquire data for validation and enhancement purposes.
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50 Figure B.1. L33 data availability and L03 data coverage.
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51 investigation is further detailed in the analysis plan section of this document. This data set may also be further explored in the enhancement phase of this project as needed.
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52 The L33 team has possession of two sources of incident data in the Los Angeles region, and throughout California, collected via PeMS: (1) Incidents from the California Highway Patrol (CHP)
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53 the usage in L03. Maps of Minneapolis data coverage and L03 study corridors are shown in Figure B.5.
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54 team has been guaranteed the availability of these data, but has not yet acquired them. As such, the exact details and format of the data are currently unknown.
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55 traffic.com in 2002. The usage of Bay Area data in L33 will not overlap in time and space with its usage in L03.
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56 the L02 project. In L02, data from 2009 were obtained from the Regional Integrated Transportation Information System (RITIS)
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57 Figure B.12. Availability of the needed types of data in each of the 10 proposed metropolitan areas.
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58 Figure B.12. Availability of the needed types of data in each of the 10 proposed metropolitan areas.
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59 methodologies. The fact that the data-rich and data-poor model validation was only performed in one region is a major motivation for this validation task.
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60 supplemental QualIty-COntrOl experIments • Use a higher data-quality threshold in generating the sectionlevel data by flagging 5-min data points when less than 90% of the section's detectors were not working. Assess the difference in the validation results in Task 9.
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61 c. Midday: Non-holiday weekdays from 11:00 a.m.
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62 plans to compute this ratio using the L03 methodology, outlined here. Inputs • Link capacities from Task 5.1.
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63 Inputs • Critical demand-to-capacity ratio for each section during the peak hour, peak period, and midday period (output of Task 5.3)
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64 RMSE is defined as ˆ ˆ 2 2 1RMSE MSE y E y y r n i n∑( )
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