DEALING WITH CONGESTION

PRESENTED BY URIE BEZUIDENHOUT

PHD CANDIDATE

WHERE DID IT COME FROM?

SOMEWHERE, SOMETHING WENT TERRIBLY WRONG

THE 9 - 5 DILEMMA

COMPRESSED LIVING AND TIME

UNDERSTANDING CONGESTION

CausesScheduled living

+Individual’s free will

=Non-autonomous

movement

ToolsSignal systems

(Management)

Public Transport(Mass transit)

Monetary penalties(Tolls and fees)

RESEARCH ON VEHICLE CONGESTION

Driver behaviour

Non-autonomous more autonomous

Coerce not penalise

DRIVER BEHAVIOUR

• Competing signage

• Short block lengths

• Visually complex

• Queues

• Pedestrians and cyclists

TRAJECTORY PLOTS

ADDED INTELLIGENCE1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70

0

5

10

15

20

25

Q-Prediction

ObservedRefine predict

Cycle no. x Intersection

Vehi

cles

(no.

)

SYNCHRONISATION

 

Queued @ Red 

Detector Zone 

Free flow Platoon

QueuedPlatoon

FIXATION

GAZE HEATMAP

POINTS OF INTEREST

COERCING (CALIBRATING) DRIVERS

• Use queues to discourage movements• Flush out queues before arrival• Greenwave along alternative route• 4 - 6 weeks to get measurable benefits

OPERA ALGORITHM – Auckland CBD

RESULTS – NETWORK WIDE

Short term (Medium term)• Cyclical queues - 8%

(-28%)• Overcapacity queues - 4%

(-31%)• Stop-start queues - 39%

(-59%)• Travel time reduction - 5%

(-20%)

OPERA OPTIMISING BENEFITS

-20 % travel time

$ 400 Savings/person/year

$0.25 billion /yearTravel time savings for Auckland

500,000 trips in peak hr

11 min trip in peak hr