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How Many Engineers Does It Take to Count a Roundabout? UNIVERSITY OF MISSOURI-COLUMBIA Carlos How Many Engineers Does It Take to Count a Roundabout? UNIVERSITY OF MISSOURI-COLUMBIA Carlos Sun, Ph. D. , P. E.

Counting Traffic is Easy, Right? Counting Traffic is Easy, Right?

A Discussion of Automated Roundabout Counting: Introduction Conservation equations Hardware Software/Algorithm A Discussion of Automated Roundabout Counting: Introduction Conservation equations Hardware Software/Algorithm

Quick Bio • The road to traffic nerdom – Start as electrical engineer in Quick Bio • The road to traffic nerdom – Start as electrical engineer in 1990 • hardware/software – Studied transportation engineering at UCI – ITS research at California PATH – 11 years teaching transportation, 8 at Mizzou

Roundabouts in the U. S. • Roundabout is one tool in a panoply of Roundabouts in the U. S. • Roundabout is one tool in a panoply of solutions for intersections • Modern roundabout: Las Vegas, 1990 • Increasing use, ~2000 as of January 2009 (Roundabouts. USA) – 20 k in France, 15 k in Australia, 10 k in the UK • More and more roundabouts need to be counted and studied-> job security, yeah!

Magic Roundabout: Magic Roundabout, Swindon, UK 6 approaches/departures, 1 big and 5 kiddie roundabouts Magic Roundabout: Magic Roundabout, Swindon, UK 6 approaches/departures, 1 big and 5 kiddie roundabouts

Conservation Equations Conservation Equations

Conservation Equations (FHWA): 4 Legged Roundabout • 4 x 4=16 movements • 2 x Conservation Equations (FHWA): 4 Legged Roundabout • 4 x 4=16 movements • 2 x 4=8 count locations • Underspecified problem

Conservation Equations: 4 Legged Roundabout • But wait, if we neglect uturns: – 12 Conservation Equations: 4 Legged Roundabout • But wait, if we neglect uturns: – 12 movements – 12 counts: 8 entry/exit counts + 4 circulating • Problem solved?

Gauss and Jordan say: Denied • Not linearly independent – It’s still underspecified • Gauss and Jordan say: Denied • Not linearly independent – It’s still underspecified • We need to count specifically: – right turns, or left turns, or through movements – but at entry point, not know which way a vehicle will end up! 1 0 0 0 0 0 -1 0 0 -1 0 0 0 1 0 0 -1 0 0 1 1 0 0 0 1 0 0 -1 -1 0 0 0 1 1 0 0 -1 -1 0 0 0 0 1 0 1 1 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0

Hardware Hardware

Video Field of View • Apart from using cellular, bluetooth, or other AVI-type tracking Video Field of View • Apart from using cellular, bluetooth, or other AVI-type tracking • What are some achievable fields-of-view?

Halls Ferry, STL Halls Ferry, STL

Creasy Spring, Columbia Creasy Spring, Columbia

Bearfield, Columbia Bearfield, Columbia

Waldenmaier (NCHRP 572) Waldenmaier (NCHRP 572)

Camera Mounting Tripods, e. g. miovision Trailer, e. g. MU Pole mount, e. g. Camera Mounting Tripods, e. g. miovision Trailer, e. g. MU Pole mount, e. g. Russell

Mirror Remote Reality Elliptical Dome, MU NCHRP 572 Mirror Remote Reality Elliptical Dome, MU NCHRP 572

Software/Algorithms Software/Algorithms

Count Estimation Systems, e. g. Eisenman and List • Additional spec. w/Time stamps • Count Estimation Systems, e. g. Eisenman and List • Additional spec. w/Time stamps • Count entrance, exits, circulating • Assume FIFO • Estimate turning movements

Other Estimation Procedures • Bi-Proportional: log-linear model (Van Zuylen & Willumsen, Bell, Nihan & Other Estimation Procedures • Bi-Proportional: log-linear model (Van Zuylen & Willumsen, Bell, Nihan & Davis, Hellinga) • Algebraic Solution: rights turns (Robinson, Rodegerts et al. ) • Sequential Quadratic: constrained least squares (Cremer & Keller, Ashok, Dixon & Rilett) • Factored Survey: surveys (Dixon)

Time Series Method Time Series Method

Virtual Loop Time Series, MU Virtual Loop Time Series, MU

Following Different Movements • Differentiating b/t: – Circulating – Entering – Exiting • Augment Following Different Movements • Differentiating b/t: – Circulating – Entering – Exiting • Augment measured variables – Not longer underspecified • Problem w/tailgating

Tracking Systems Tracking Systems

Tracking Type Systems, e. g. miovision Tracking Type Systems, e. g. miovision

Common Tracking Algorithms (Coifman & Malik) • Model-based – detailed geometric object models • Common Tracking Algorithms (Coifman & Malik) • Model-based – detailed geometric object models • Region-based – connected region, “blob” • Contour-based – reduce to boundary • Feature-based – distinguishable pts. , corners – Group rigid features moving together

Algorithm Step Examples • • • Vehicle image capture Background subtraction Gradient/edge detection Feature Algorithm Step Examples • • • Vehicle image capture Background subtraction Gradient/edge detection Feature vectors Inter vs. intra cluster movement

Feature-Based Tracking Feature-Based Tracking

Multi-Detector Control Multi-Detector Control

Multiple Cameras, e. g. Autoscope • • • Junction control 8 cameras 31 counting Multiple Cameras, e. g. Autoscope • • • Junction control 8 cameras 31 counting stations 5000 vph Krakow, Poland No turning movements necessarily

So how many engineers does it take to count a roundabout? Assign a person So how many engineers does it take to count a roundabout? Assign a person to count each approach? (e. g. 4 persons for a 4 -legged RA) Have an engineer design an automated system (e. g. HAL 9000)

Questions/Comments? FOR MORE INFORMATION PLEASE CONTACT: CARLOS SUN UNIVERSITY OF MISSOURI csun@missouri. edu Feasibility Questions/Comments? FOR MORE INFORMATION PLEASE CONTACT: CARLOS SUN UNIVERSITY OF MISSOURI csun@missouri. edu Feasibility of an Automated Solution for Deriving Roundabout Turning Movements; Rescot, Sun; TRB 2008 Paper #08 -0388 Automated Capturing of Roundabout Turning Movement Counts; 2008 National Roundabout Conference http: //www. teachamerica. com/RAB 08/List. Menu. html