Calvert, Do ‘normal’ traffic conditions really exist? Why modelling variation & uncertainty is not a choice
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Calvert, Do ‘normal’ traffic conditions really exist? Why modelling variation & uncertainty is not a choice

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Presentation by Simeon Calvert in Masterclass on 16 May 2012 on his phd research on probabilistic traffic flow models and "Help I've got a supervisor".

Presentation by Simeon Calvert in Masterclass on 16 May 2012 on his phd research on probabilistic traffic flow models and "Help I've got a supervisor".

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Calvert, Do ‘normal’ traffic conditions really exist? Why modelling variation & uncertainty is not a choice Calvert, Do ‘normal’ traffic conditions really exist? Why modelling variation & uncertainty is not a choice Presentation Transcript

  • Do ‘normal’ traffic conditions really exist? Why modelling variation & uncertainty is not a choice S.C. Calvert MScTU Delft Masterclass May 2012 Challenge the future 1
  • Who am I?Simeon Calvert, MSc, 28 yrs• Traffic researcher at TNO & PhD-candidate at TU Delft• Graduated at TU Delft, Transport & Planning, 2010.• Specialisation in Traffic flow theory and traffic modelling• PhD-subject is on probabilistic traffic flow modelling. Challenge the future 2
  • Contents for today• Is considering ‘normal’ traffic conditions good enough?• Demonstration of variation in traffic flow• Focus of my research• Modelling variation using probability• Supervision Challenge the future 3 View slide
  • Is ‘normal’ traffic flow good enough?• Traffic is affected by day-to-day variations in traffic demand, weather conditions, road works, etc.• Normal practice: take an average/representative situation• Is it sufficient to consider normal traffic conditions when modelling traffic? And why? Challenge the future 4 View slide
  • Is ‘normal’ traffic flow good enough?• Demonstration of variations present on roads 8000 7000 7000 6000 Traffic demand: 6000 5000 5000 4000 4000 Congestion: 3000 3000 2000 2000 1000 1000 0 0 0 1 2 3 4 5 6 5 x 10 1.46 1.47 1.48 1.49 1.5 1.51 1.52 1.53 1.54 1.55 5 x 10 Challenge the future 5
  • Is ‘normal’ traffic flow good enough?• Capacity varied due to different weather conditions• Two scenarios with same input, but one varied and one the ‘average’ situation 1 0.9 0.8 0.7 Capacity factor 0.6 0.5 0.4 0.3 0.2 0.1 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Cumulative probability source: Calvert, Taale, Snelder & Hoogendoorn (2012) Challenge the future 6
  • Is ‘normal’ traffic flow good enough?• Results: Scenario Median Travel times Average Travel times (minutes) (minutes) Variation in input 20.23 23.98 No variation in input 18.16 18.16 source: Calvert, Taale, Snelder & Hoogendoorn (2012)• Varied capacity leads to a (much) higher travel time!• Non-varied capacity does not sufficiently consider delays• NB: This is often the case, but not always! -Calvert & Taale (2012) Challenge the future 7
  • Focus of my research• Effects of (external) events on traffic flow • Such as weather, daily demand variation, incidents, … • Data analysis• Modelling variation in traffic • Models used for planning/forecasting & evaluation• Presentation of probabilistic model results • Especially for policy-makers ? Challenge the future 8
  • Modelling variation using probability• Traffic modelling -> macroscopic / microscopic Challenge the future 9
  • Modelling variation using probability• Advanced Monte Carlo • Many simulations, with a different combination of input values for each simulation • ‘Advanced’ refers to clever ways of selecting the input values Histogram of network delay (Systemtic sampling) 1 12 • INPUT: 0.9 OUTPUT: 10 0.8 0.7 8 Capacity factor 0.6 Frequency 0.5 6 0.4 4 0.3 0.2 2 0.1 0 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 1 2 3 4 5 6 Cumulative probability Network delay (vehicle hours) 4 x 10 Challenge the future 10
  • Modelling variation using probability• Core probability • Variation is calculated in the core of the model as sets of probability distributions • Faster, completer, ☺ … but harder to implement Congestion if: K > Kcritical = 25 veh/km Challenge the future 11
  • Supervision• MSc: • 1 or 2 daily supervisors & professor• PhD: • 1 or 2 daily supervisors & promoter• High degree of independence expected Challenge the future 12
  • Supervision• Important for dealing with supervisors: • Make clear arrangements (about meetings, input, reporting, …) • Be independent, but keep regular contact with supervisor(s) • Remember: supervisors have been there before! • …but you do have a say how you progress. • Serving two masters (conflicting interests)* • Sort out problems quickly, don’t ignore them! Challenge the future 13
  • Opportunities / Interested?• MSc-thesis project internship• @TNO (or @ITS Edulab)• Email: simeon.calvert@tno.nl Challenge the future 14
  • Challenge the future 15