1 / 24

Ph.D. Student, Hyoung-Chul Kim Professor, Ikki Kim

South Korea Emme User’s Conference April 21, 2010. Dynamic Analysis for Exclusive Median Bus-lane Policy during Weekday and Tollgate Booth Open-close Metering Policy in Korea National Freeway Network with Dynameq. Ph.D. Student, Hyoung-Chul Kim Professor, Ikki Kim.

asis
Download Presentation

Ph.D. Student, Hyoung-Chul Kim Professor, Ikki Kim

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. South Korea Emme User’s Conference April 21, 2010 Dynamic Analysis for Exclusive Median Bus-lane Policy during Weekday and Tollgate Booth Open-close Metering Policy in Korea National Freeway Network with Dynameq Ph.D. Student, Hyoung-Chul Kim Professor, Ikki Kim Department of Transportation Engineering, Hanyang University

  2. Overview of Dynameq - 1 -

  3. I/O Data and Model of Dynameq • Input Data: • - traffic demand, network definition, traffic control plans • Outputs: • - simulation results, path-based results • Path-Choice Model • Traffic Simulation: • - car-following, lane-changing, gap-acceptance - 2 -

  4. Outline • Case Studies of Dynamic analysis in Korea national freeway network with Dynameq • Case Study 1: • Exclusive Median Bus-Lane Policy during weekday • Case Study 2: • Tollgate Booth Open-close Metering Policy - 3 -

  5. Case Study1 • ( Exclusive Median Bus-Lane Policy ) PangyoIC • 분석시간(Time span): • 16:00-21:00 • 분석지역(Spatial extent): • - 경부고속도로, • (Gyeong-bu Expressway) • 판교IC-신탄진IC • (Pangyo-IC ~ Sintanjin-IC) SuwonIC Gyeong-bu Expressway SintanjinIC - 4 -

  6. Network • Network: • - 요금체계가 폐쇄형(Close System)인 23개 고속도로 • Centroid: • - 256개 영업소(Tollgate) Centroid: 영업소(Tollgate) • < Dynameq Network> - 5 -

  7. Time Slice OD • Data: TCS(Toll Collection System) Data • Collection Period: • 14:00-21:00, • February 4, 2005 Car1 Car2 Car3 • Vehicle Classification Car4 Car5 Car6 - 6 -

  8. Network Calibration • Network Calibration was performed by modifying the free flow speed, capacity of each link. • Error rate was calculated using DUE flows • and observed flows on each link at time slice - 7 -

  9. Network Calibration (cont’d) • Result of network calibration is reasonable in reflecting real traffic conditions because most of all link’s error rate is within 30% at each time slice. - 8 -

  10. Network Calibration (cont’d) • Comparison of average travel time between origin and destination using simulation results and observed TCS data • Estimated average travel time is similar to the observed average travel time so that DTA model can be applied in real transportation policies - 9 -

  11. Traffic Condition • 8:00-9:00 PM • 5:00-6:00 PM • 7:00-8:00 PM • 6:00-7:00 PM • Above figures shows that the link flows are represented by bar and color theme • After 7:00 PM, Congestion begins to be dissolved gradually up to a certain point. - 10 -

  12. Policy scenarios PangyoIC • 1. Scenario1: • - 판교IC-신탄진IC (Pangyo-IC ~ Sintanjin-IC) • 2. Scenario2: • - 판교IC-수원IC (Pangyo-IC ~ Suwon-IC) • 3. Scenario3: • - 수원IC-신탄진IC (Suwon-IC ~ Sintanjin-IC) Scenario2 SuwonIC Scenario1 • <Assumption> • - 승용차에서 버스로의 수단전환율: • (Mode shift ratio from auto to bus:) • 10%, 20%, 30%, 35% Scenario3 SintanjinIC - 11-

  13. Measurement • Car and Bus mode were just considering. • The formula for computing total travel time Where, = Link m = Mode (Auto, Bus) = Mode(m)’s Occupancy(person) T= Total Travel Time = Mode(m)’s Travel Time on link = Mode(m)’s Volume on link - 12 -

  14. Result of Policy Scenarios (Unit: Hour) * Scenario 1: Pangyo-IC ~ Sintanjin-IC * Scenario 2: Pangyo-IC ~ Suwon-IC * Scenario 3: Suwon-IC ~ Sintanjin-IC - 13 -

  15. Conclusion • This study analyzes various scenarios based on DTA model and real time data from TCS • The result represents Median Bus-lane policy is meaningful when Mode Shift Ratio from auto to bus is greater than 35% • Since It means that the overall public transportation policies need to make a mode shift from Auto to Bus. - 14 -

  16. Case Study2 • (Tollgate Booth Open-close Metering Policy ) Background • Extreme congestion makes mobility limited • Traffic congestion causes Huge social cost and many traffic accident • So, it is necessary for studying how to improve the mobility on expressway - 15 -

  17. Network, OD • This sample network and OD are designed for traffic condition of special traffic period - 16 -

  18. Methodology • Tollgate Booth Open-close Metering Start Historical Data New Time Slice OD Time Slice OD DTA Selected Link Analysis DTA No Observed Link Flows Yes LOS > D ? Yes No H=T ? End H=H+1 - 17 -

  19. Methodology (cont’d) • KHCM, 2004 • Reduction Selected OD matrix Current Condition < LOS D Ex) Density ≥ 19 (pc/km/lane) • Tollgate Booth Open-close Metering Selected link Analysis - 18 -

  20. Result A • Comparison of speed between before and after case on each time slice 07:30 09:15 After Case: 100 km/h (Time slice) Before Case: 79 km/h (Km/h) • X axis: time slice • Y axis: (Average travel speed – Designed speed(100 km/h) ) Before Case After Case - 19 -

  21. Result A • Comparison of density between before and after case on each time slice Before After Before Case: - 59(pc/km/lane) - LOS F Density (pc/km/lane) After Case: - 13 (pc/km/lane) - LOS C (Time slice) 11:45 06:00 • X axis: time slice • Y axis: Density (pc/km/lane) - 20 -

  22. Result • Comparison of total travel time between before and after case • Measurement: Total Travel Time Difference between before and after case • Result: -2,938 Hour (or -10,576,522 Sec) • Thus, the highway entrance-exit control policy is efficient - 21 -

  23. Conclusion • This study shows the effect of access control on tollgate under DTA with virtual network • In the result of simulation using Dynameq, we can find out the improvement effects of speed and density on link when access control on tollgate is adopted • The following study needs to analyze the actual large network with real time data such as TCS - 22 -

  24. Thank youfor your attention !

More Related