Your SlideShare is downloading. ×
Its Powerpoint Presentation Final
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.


Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Its Powerpoint Presentation Final


Published on

  • Be the first to comment

  • Be the first to like this

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

No notes for slide


  • 1. Raj A. Naidu presents
  • 2. • Simple to Use• DynusT is Windows-based software. DynusT is aimed at integrating with travel demand models and microscopic simulation models, supporting application areas in which realistic traffic dynamic representation is needed for a large-scale regional or corridor network.
  • 3. NETWORK DATA – DYNUSTInput information of nodes comes from a shapefile from the planning model Nodes Node I.D. Latitude (required) (required) TAZ association with Longitude nodes (required) (suggested/optional)
  • 4. LINKS – DYNUSTInput information of links comes from a shapefile from the planning model From node (required) To node (required) Link Length (required) Links Link Direction ID (required) Functional Class ID (required) Number of lanes per link (required)
  • 5. Incident Description• An incident is described as a time-dependent event, such as a car accident or a temporary special event that impedes the traffic way thus causing a reduction in capacity. The "severity" of the incident will be input by the user as the severity is the fraction of link capacity lost due to the incident. For an active incident, DynusT will reduce the physical capacity (lane-miles) and maximum flow rate of the incident link.•
  • 6. DynusT Analysis Link – 401, 642• Application
  • 7. • Data that can be inputed into the program include Scenario, Demand, Capacity and Traffic Flow Model Data. Also, traffic control consists of 4 main types – Stop Sign, Yield Signs, Actuated Signals, and Pretimed Signals.
  • 8. Scenario Development Traffic Flow rerouting plan Additional TollingConnectivity Scenarios Ramp Scenario PhasedMetering Development evacuationStrategies strategiesSignal Progress& optimization Capacity ITS Strategies increase on links
  • 9. DynusT Major Control Devices 4 Control devices (from left to right) Stop Sign Yield Sign Pre-timed Signal Actuated Signal
  • 10. There are 10 default link types
  • 11. This is a node. This sample has 10 nodes and 3 zones.Links can either betwo way or oneway links. This is a TAZ 3two way link. TAZ 1
  • 12. The Scenario Platform
  • 13. The Scenario Platform- Selecting Incidents
  • 14. The Run Simulation CommandClick to RunSimulation afterIncident Info. is entered
  • 15. Getting the Output Files
  • 16. A Sample Output File for this Project• ==========================================================• ==========================================================• H DynusT H• H H• H Dynamic Urban Systems for Transportation H• H H• H Version (2.0.1 Beta) H• H H• H H• H Released by: Federal Highway Administration H• H Copyright: Yi-Chang Chiu H• H H• H Scheduled Release Date: October, 2009 H• H H• ==========================================================• ==========================================================•• ****************************************• * Basic Information *• ****************************************•• NETWORK DATA• ------------• Number of Nodes : 1139• Number of Links : 2640• Number of Zones : 247• ***************************************•• INTERSECTION CONTROL DATA• -------------------------• Number of No Control : 1133• Number of Yield Signs : 0• Number of 4-Way STOP Signs : 2• Number of 2-Way STOP Signs : 4• Number of Pretimed Control : 0• Number of Actuated Control : 0• ***************************************•
  • 17. Overall Statistics Report Output File
  • 18. Overall Statistics Report (More of Output File)
  • 19. My Simulation• Added an incident on a freeway segment• Changed the parameters of the incident – Duration: 15 min., 30 min., 45 min., 1 hour, etc. – Changed the severity percentage (0, .33, .67, .99) – From there, ran the output
  • 20. An incident is denoted with red triangle
  • 21. Results of my Simulation• ========================================================== The link is defined• ========================================================== (842-844)• H DynusT H• H H The duration is• H Dynamic Urban Systems for Transportation H• H H defined (30 min.)•• H H Version (2.0.1 Beta) H H 33% = 1 lane closed• H H• H Released by: Federal Highway Administration H• H Copyright: Yi-Chang Chiu H• H H• H Scheduled Release Date: October, 2009 H• H H• ==========================================================• ==========================================================•• ****************************************• * Basic Information *• ****************************************•••• CAPACITY REDUCTION• ------------------• -- Incident --• Location 842 -- 844 From min 0.0 To min 30.0, 33.0 % Capacity Reduction••
  • 22. Sample Data Graph - Speed Link 402,642 Scenario No. VHT VMT SPEED = VMT/VHT) 0-30 MIN Base Cond. - No Inc. 5194 329243 63.4 0.17 (SHOULDER) 5192 328895.656 63.3 0.33 (1 LANE CLOSED) 5163 326620 63.3 0.67 (2 LANES CLOSED) 5254 328809 62.6 0.99 (3 LANES CLOSED) 5146 326989 63.5 329500 329000 328500 328000 Series1 327500 Poly. (Series1) 327000 326500 326000 5140 5160 5180 5200 5220 5240 5260
  • 23. Overall Results and ObservationsThe longer the incident, the more vehicle miles traveled (VMT).The higher the severity, the higher the vehicle hours traveled time(VHT). (I.E., .33 VS. .67)• The results for my testing were representative of the entire network and since it was a large network huge impacts were not always observed but many incidents in network would have bigger effect. The incident would hinder capacity more on areas of close proximity vs. the entire network. If you multiply results on entire network, which was composed of 31000+ vehicles, 1139 nodes, 2640 links and 247 zones, then you will observe that in the big picture, there is indeed a big impact on all traffic involved and ITS technology can greatly assist in this dilemma.