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Transport Modelling Workshop Software Innovation


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PTV Group

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Transport Modelling Workshop Software Innovation

  2. 2. I Slide 2 TRAFFIC – VISION SUITE Qualitative collection and validation of accident data OFFLINE REAL-TIME ROAD SAFETY Advanced microscopic pedestrian simulation, both inside and outside buildings Network modelling – large scale, national, regional and local transport network developments and demand modelling Traffic impact analysis and signal timing optimisation Detailed microscopic modelling of individual vehicles covering all modes of transport – multi-modal micro- simulation Real-time traffic simulation model, based on offline strategic model (PTV Visum), fused with real-time data Online traffic signal adaptive network control – model-based
  3. 3. I Slide 3 PTV VISUM 16: SIMULATION BASED ASSIGNMENT Innovation:  Mesoscopic simulation used for network loading Mesoscopic Simulation:  Uses the same science behind Mesoscopic simulation in Vissim  Simplified Car Following Model  Instant speeds  Junctions modelled with signal control and gap acceptance  Signal offsets implicitly represented  Lane Selection Model  Link lanes have equal characteristics
  4. 4. I Slide 4 Vissim Meso/Operations Model PTV Visum Macroscopic Model MULTI-RESOLUTION MODELLING Visum Meso/Operations Model Hybrid/Microsimulation Model Demand Granularity Demand model type Traveller types Activities Modes Time Periods / 24h Supply Granularity Assignment method Time Periods / 24h Multi-modality Zoning system Link coverage Junction representation Assignment with ICA Quasi-dynamic Least model dev. effort Hybrid Meso/Micro Most expressive option 3D visualisation Junction design Adaptive signals Adaptive traffic mgmt. +++ Simulation-Based Asgmt. Dynamic Simulation Moderate dev. effort Hybrid Meso/Micro Dynamic Simulation Greater dev. effort
  5. 5. I Slide 5 PTV VISUM – 16…SHARED MOBILITY A B New ‘station’ object  Capacity  CR function  Renting cost ‘Sharing’ leg  Time user defined Keep renting and go to zone Return vehicle to station Return vehicle to station
  7. 7. real city
  8. 8. real* trips
  9. 9. real* routes
  10. 10. TaxiBot ride-sharing AutoVot car-sharing Public Transport High-Capacity SHARED AUTONOMOUS VEHICLES?
  11. 11. all day vs. peak hours 24hrs. peak hrs. maximum delay from base case trips 5 minutes WHAT WE WANTED TO TEST
  12. 12. number of vehicles required to provide the same trips as before: 24hrs. peakhrs. WHAT WE WANTED TO TEST + 24hrs. TaxiBots Ride -sharing Public transport (high capacity )
  13. 13. number of vehicles required to provide the same trips as before: 10% Scenario: 24 hours + 24hrs. THE IMPACT ON VEHICLE NUMBERS TaxiBots Ride -sharing Public transport (high capacity )
  14. 14. number of vehicles required to provide the same trips as before: 35%+ peakhrs. THE IMPACT ON VEHICLE NUMBERS TaxiBots Ride -sharing Public transport (high capacity )
  15. 15. I Slide 15 PTV VISUM – EUROPEAN TRANSPORT MODEL – OVERVIEW  European Commission  Strategic planning model  All 28 EU member states and surrounding countries  Inform investment decisions for European freight and passenger corridors  Better coordination and planning decisions  E.g. how would a new rail link through Siberia affect the cost of moving goods from China?  E.g. fuel prices, emissions…
  16. 16. I Slide 16 PTV OPTIMA – PUBLIC TRANSPORT  Current ETA generally based on statistical approach.  Lack of real time information on impact of different modes on each other.  Optima PuT predicts future effects for the next stops and evaluates alternative strategies.  Provide reliable, on-time, PuT information to commuters and visitors.  ETA for all lines and alerts for predefined missing interchanges.  Real time passenger flow for forecast about PuT occupancy.
  17. 17. I Slide 17 360° SMARTPHONE APPS Your City App Real-time, multimodal travel planning Citizen/tourist advice and alerts Influence mobility behaviour Shared mobility GPX Importer Smartcard Importer Mobility Surveys Live data: mobile phone, GPS, detectors City intervention: diversions, special events Continuous & real-time Offline planning Continuous & real-time
  18. 18. I Slide 18  Focused on usability and speeding up the modelling process.  Additions to Scenario Management which allows comparison of results graphically.  Matrices are included within the GUI rather than being read in externally.  Background maps available in 3d mode.  Network checking prior to simulation run.  HCM results for nodes. PTV VISSIM 9 – NEW FEATURES
  19. 19. I Slide 19 PTV VISWALK 9 – ELEVATORS
  20. 20. I Slide 20  UK Department for Transport commissioned study to simulate the impacts Connected Autonomous Vehicles (CAV’s) may have on traffic flow and capacity.  Atkins consultants created a number of Vissim models to replicate conditions across the UK’s trunk road network.  COM Interface adopted to configure CAV’s to change behavior according to the traffic situation.  Considered whether CAV’s would be more cautious in their behavior and the impact this has on road capacity. PTV VISSIM – AUTONOMOUS VEHICLE MODELLING
  21. 21. I Slide 21 PTV VISSIM – URBAN CYCLING SCHEMES  FCL ETH in partnership with PTV developing a cycling simulator;  Explore VR as a new tool for transport and urban planning;  Develop street designs that are responsive to future forms of mobility;  PTV Vissim as the traffic simulator;  ESRI City Engine as design configurator;  Unity as gaming engine.
  22. 22. I Slide 22 PTV VISSIM: MESOSCOPIC SIMULATION Bridge Closure Bridge Closure Route of diverted traffic determined in meso through dynamic assignment Network Performance Do alternative routes maintain sufficient Level of Service? Mitigation Measures Are temporary mitigation measures required to accommodate additional traffic flow? Scenario Management Performance across multiple scenarios (AM, PM) and modifications (mitigations etc) Solution Optimal solution identified based on achieving balanced network
  23. 23. I Slide 23 PTV GROUP - BETA TESTING Early access to pre-release versions of the software. Members will get:  Hands on experience of new features before anyone else  Chance to influence development  Chance to work more closely with PTV development team Download from:
  24. 24. I Slide