This codebook.txt file was generated on 2018-01-29 by wilsonkm ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Analysis of Interstate 405 Traffic Data and Performance Measures, and Recommendations to Improve Corridor Performance 2. Author Information Author Contact Information Name: Yufeng Zhang Institution: University of Minnesota Address: Email: zhan4879@umn.edu Author Contact Information Name: Alireza Khani Institution: University of Minnesota Address: Email:akhani@umn.edu Author Contact Information Name: Matt Schmit Institution: University of Minnesota Address: Email: schm1327@umn.edu 3. Date of data collection: 2014-01-01 to 2017-06-30 4. Geographic location of data collection: I-405 stretch between Bellevue, WA and Lynwood, WA 5. Information about funding sources that supported the collection of the data: Sponsorship: Washington Joint Transportation Committee -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC0 1.0 Universal 2. Links to publications that cite or use the data: The final report for this study, “I-405 Traffic Data and Corridor Performance Analysis” is housed in the same record as the dataset. 3. Links to other publicly accessible locations of the data: The final report for this study, “I-405 Traffic Data and Corridor Performance Analysis” is housed in the same record as the dataset. 4. Links/relationships to ancillary data sets: N/A 5. Was data derived from another source? N/A 6. Recommended citation for the data: Matt, Schmit; Alireza, Khani; Yufeng, Zhang. (2018). Analysis of Interstate 405 Traffic Data and Performance Measures, and Recommendations to Improve Corridor Performance. Retrieved from the Data Repository for the University of Minnesota, http://hdl.handle.net/11299/192854. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: WA I-405 Final Report Jan 2018.pdf Short description: Final report of the study. B. Filename: Final report figure attachment.rar Short description: Compressed folder contain 6 subfolders and a .docx. The .docx “Figure Contents Summary” details what each folder contains and contents the figures represent. 2. Relationship between files: The compressed foldr serves as a complementary file for the final report. Files in the compressed folders are indepent of each other. 3. Additional related data collected that was not included in the current data package: No. 4. Are there multiple versions of the dataset? No 5. Acronyms and definitions: NB: northbound SB: southbound ETL: express toll lane -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: The final report, specifically sections 3.1-3.2, contains in-depth information regarding data analysis methodology. 2. Methods for processing the data: 3. Instrument- or software-specific information needed to interpret the data: Do not require any instrument or software for interpreting. 4. Standards and calibration information, if appropriate: N/A 5. Environmental/experimental conditions: N/A 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: ETL monthly peak minute-by-minute speeds by transaction data (figure 17) folder ----------------------------------------- Description: Figures are separated by direction (NB and SB), common trips (5 for NB and 5 for SB), and months (Jan 2016-June 2017). In each figure, the horizontal axis is peak periods time, and the vertical axis is speed in mph. The green line shows the average speeds and the vertical bars show the range between the 10th percentile and 90th percentile speed. The horizontal orange dashed line shows the speed of 45 mph. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: ETL monthly peak minute-by-minute trave times by transaction data (figure 9) folder ----------------------------------------- Description: Figures are separated by direction (NB and SB), common trips (5 for NB and 5 for SB), and months (Jan 2016-June 2017). In each figure, the horizontal axis is peak periods time, and the vertical axis is travel times in minute. The green lines show the average travel times and the vertical bars show the range between the 10th percentile and 90th percentile travel time. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: ETL volume by transaction data folder ----------------------------------------- Description: Figures are separated by direction (NB and SB), transaction type (HOV and non-HOV). The plazas on horizontal axis show the entrances and those on vertical axis show the exits of vehicles using toll lanes. Different color scales show different volume between pairs of entrance and exit. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Monthly peak speeds by loop detector data (figure 13,14) folder ----------------------------------------- Description: Figures are separated by direction (NB and SB), lane type (ETL and GPL), and months (Jan 2014-June 2017). In each figure, the horizontal axis is peak periods time, and the vertical axis is speed in mph. The green line and the blue line shows the average speeds and the lowest speeds respectively, and the vertical bar shows the range between the 10th percentile and 90th percentile speed. The horizontal orange dashed line shows the speed of 45 mph. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Monthly travel times by loop detector data (figure 6,7,8) folder ----------------------------------------- Description: Figures are separated by direction (NB and SB), lane type (ETL and GPL), periods (peak and off-peak), and common trips (7 for both directions). In each figure, the horizontal axis shows months and year, and the vertical axis is travel time in minute. The green line shows average travel times and the blue horizontal line shows the travel times if traveling at 60 mph speed (free flow travel time). The vertical dashed black line indicates the opening of the toll lanes. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Vehicle mile analysis folder ----------------------------------------- Description: Figures are separated by direction (NB and SB), periods (peak and whole day), and section (single and double). In each figure, the horizontal axis shows lane types, and the vertical axis is month and year. Different color scales show different vehicle-mile on a specific lane and in a specific month. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Figure Contents Summary.docx ----------------------------------------- Description: .docx file containing a table and a list of the folders with descriptions of their contents. The table is described below. 1. Number of variables: 8 2. Number of cases/rows: N/A 3. Missing data codes: N/A 4. Variable List A. Name: Index Description: Number corresponds with list below table in document. B. Name: Report Figure Correspondence Description: Figure # that corresponds with information. Value labels if appropriate C. Name: Subject Description: What subject the figure is representing. Value labels: Speeds, travel times, volume, vehicle-mile D. Name: Data Source Description: Source from which data were collected. Value labels: Transaction data: Data from toll transactions. Loop detector data: Data from embedded pairs of loop detectors in pavement of I-405. E. Name: Analysis Lane Type Description: Type of lane analyzed. Value labels: ETL: express toll lane GPL: general purpose lane F. Name: Periods Description: Period of time during analysis. Value labels: Peak: Period of time during which traffic is increased, as in commute times (5AM-9AM, 3PM-7PM) Off-Peak: Time that falls outside the peak hours listed above Whole day: Entire 24 hr period G. Name: Time Aggregation Level Description: Time period at which data were aggregated. From report: “Monthly volume aggregation is commonly used to illustrate changes and trends over several years. Monthly and/or weekly aggregations are also used to reveal changes around major policy or capacity-affecting events.” Value labels: Monthly Daily average H. Name: Space Aggregation Level Description: Value labels: Common trips Transaction plazas Single and double section