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Presentation by Mark Veenstra in the TIL/T&P Masterclass on 16 May2012. MSc research on the effect of traffic measures and the theme "Help I've got a supervisor."
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University vs. Student vs. Company
21/5/12 Mark Veenstra 1
University vs. Student vs. Company
21/5/12 Mark Veenstra 2
Fight!?
University vs. Student vs. Company
How to manage your supervisors
21/5/12 Mark Veenstra 3
21/5/12 Mark Veenstra 4
15-‐minute prospect
• What am I doing? • My research • How come? • About my supervisors • How I work with them • Other possibiliLes
21/5/12 Mark Veenstra 5
What am I doing? GraduaLng
• 3 days/week at MuConsult, Amersfoort • 2 days/week at TU DelR
à Serge Hoogendoorn à Research on the effect of traffic measures
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Research • Improving the method of esLmaLng the overall effect of
traffic measures on the vehicle delay Lme at the Dutch naLonal freeway network
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Research • Improving the method of esLmaLng the overall effect of
traffic measures on the vehicle delay Lme at the Dutch naLonal freeway network
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100 110 120 130 140 150 160 170 180 190 200
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Inde
x
Year
Possible development of total vehicle delay 8me if measures were not taken
Index Total Vehicle Delay Time
Possible development without measures taken
The unknown effect of the measures on the development of the total delay 7me
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Research
21/5/12 Mark Veenstra 10
Research
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Research
Current methodology uses mulLple regression analysis
"↓$% = '↓% +(∙ )↓*+ +,∙ -↓*$ + .∙/↓01 +2∙3↓4 + 5∙6↓$% + 7↓$% Measures, situaLon specific, year, month, traffic volume and error-‐term • SimplificaLon:
68/=9(8;4<=>, );<?@1;?, 8$?A@1B<=';?)+ 7 • TransiLon:
68/=9(8;4<=>, D<+<'$AE)+ 7
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Research
• Data available: – 10 years of data of over 60% of the Dutch NaLonal Freeway – 15 minutes aggregated à 96 quarters for each day
> 9 million rows > 6300 variables, including hourly weather staLsLcs, incidents, speeds, vehicle kilometers, vehicle delay Lmes, all implemented measures
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Research
• 1 row in data is 1 day for 1 road-‐secLon • Acempt to use the data without having to use data from the
upstream and/or downstream road-‐secLons • Focus on the capacity part of the problem • Focus to work from the measured data and not from the
theoreLcal contribuLon of the individual traffic measures
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Research
• 1 row in data is 1 day for 1 road-‐secLon • Acempt to use the data without having to use data from the
upstream and/or downstream road-‐secLons • Focus on the capacity part of the problem • Focus to work from the measured data and not from the
theoreLcal contribuLon of the individual traffic measures
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VerLcal queuing
Research
• Strategy:
• VerLcal queuing:
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Input Method Vehicle delay time
Research
• Strategy:
• VerLcal queuing:
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Input Method Vehicle delay time Black box
Research
• Strategy:
• VerLcal queuing:
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Input Method Vehicle delay time Black box
Arrivals Departures
Vertical queuing method Vehicle delay time
Research
• Strategy:
• VerLcal queuing:
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Input Method Vehicle delay time Black box
Vehicle delay time Queue length
Cumulative arrival curve Arrivals
Cumulative departure curve Departures
Research
• Strategy:
• VerLcal queuing:
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Input Method Vehicle delay time Black box
Vehicle delay time Queue length
Cumulative arrival curve Arrivals
Cumulative departure curve Departures
Measured delay time
Research
• CumulaLve curves
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0
4000
8000
12000
16000
20000
24000
28000
32000
36000
40000
0 4 8 12 16 20 24 28 32 36 40 44 48
Num
ber o
f Veh
icles
Time Interval
Synthe8c Example Cumula8ve Arrival and Departure Curves
Arrivals
Departures
• I wanted something with models, traffic, data, puzzling et. cetera
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How come?
• I wanted something with models, traffic, data, puzzling et. cetera
• I wanted Serge, thus I contacted him
21/5/12 Mark Veenstra 23
How come?
• I wanted something with models, traffic, data, puzzling et. cetera
• I wanted Serge, thus I contacted him
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(his secretary)
How come?
• I wanted something with models, traffic, data, puzzling et. cetera
• I wanted Serge, thus I contacted him A discussion followed about my moLvaLons and preferences
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(his secretary)
How come?
• I wanted something with models, traffic, data, puzzling et. cetera
• I wanted Serge, thus I contacted him A discussion followed about my moLvaLons and preferences • Serge had some ideas/opLons
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(his secretary)
How come?
• I wanted something with models, traffic, data, puzzling et. cetera
• I wanted Serge, thus I contacted him A discussion followed about my moLvaLons and preferences • Serge had some ideas/opLons • I had talks/interviews with Wiceveen+Bos, DVS, and
MuConsult
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(his secretary)
How come?
• I wanted something with models, traffic, data, puzzling et. cetera
• I wanted Serge, thus I contacted him A discussion followed about my moLvaLons and preferences • Serge had some ideas/opLons • I had talks/interviews with Wiceveen+Bos, DVS, and
MuConsult • Decision made on best feeling of most interesLng subject
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(his secretary)
How come?
About the supervisors • GraduaLon commicee:
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About the supervisors • GraduaLon commicee:
– Prof. dr. ir. Serge P. Hoogendoorn; TU DelR
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About the supervisors • GraduaLon commicee:
– Prof. dr. ir. Serge P. Hoogendoorn; TU DelR – Prof. dr. Henk Meurs; Muconsult
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About the supervisors • GraduaLon commicee:
– Prof. dr. ir. Serge P. Hoogendoorn; TU DelR – Prof. dr. Henk Meurs; Muconsult Dr. ir. Henk Taale; TU DelR
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About the supervisors • GraduaLon commicee:
– Prof. dr. ir. Serge P. Hoogendoorn; TU DelR – Prof. dr. Henk Meurs; Muconsult Dr. ir. Henk Taale; TU DelR Ir. Paul B.L. Wiggenraad; TU DelR
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About the supervisors • Daily supervisors, MuConsult
– Drs. Jan Perdok; Data and models – Dr. Rinus Haaijer; QuanLtaLve research – Ir. Peter van Bekkum; Traffic engineer
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How I work with them • Professors are very busy.. best chance is to walk by and he
might have 10 minutes somewhere that day. Otherwise, make an appointment with the secretary
• With Henk Taale: progress meeLng every two weeks, and quesLons/problems in between via e-‐mail
• At MuConsult also every 2 weeks a meeLng. QuesLons and discussions along the way
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How I work with them Different interests?
• TU DelR à ScienLfic • MuConsult à Part of the research, thus usability • Difficult? Not at all… at least in this case • Henk Meurs is MuConsult but is also a scienLst, thus he keeps
the focus on the scienLfically value
• Advises: – Keep communicaLng, make sure that all parLes agree with decisions
on what to do and what not to do – Start small and focused, extend when possible
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Other possibiliLes • Interests are long way apart • Communicate with commicee • Let commicee also communicate with each other • Sepng the scope and limits of the research in the beginning is
one of the most difficult parts (for me it was), but if everyone agrees to that, you will always have something to fall back on
• Take a helicopter view from Lme to Lme, to overthink what you are doing, and if that will lead to the desired final results
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