1. DEALING WITH
CONGESTION
PRESENTED BY URIE BEZUIDENHOUT
PHD CANDIDATE

2. WHERE DID IT COME FROM?

3. SOMEWHERE, SOMETHING WENT TERRIBLY WRONG

4. THE 9 - 5 DILEMMA

5. COMPRESSED LIVING
AND TIME

6. UNDERSTANDING CONGESTION
Causes
Scheduled living
+
Individual’s free will
=
Non-autonomous
movement
Tools
Signal systems
(Management)
Public Transport
(Mass transit)
Monetary penalties
(Tolls and fees)

7. RESEARCH ON VEHICLE CONGESTION
Driver behaviour
Non-autonomous  more autonomous
Coerce  not penalise

8. DRIVER BEHAVIOUR
• Competing signage
• Short block lengths
• Visually complex
• Queues
• Pedestrians and cyclists

9. TRAJECTORY PLOTS

10. ADDED INTELLIGENCE
0
5
10
15
20
25
1
4
7
10
13
16
19
22
25
28
31
34
37
40
43
46
49
52
55
58
61
64
67
70
VEHICLES(NO.)
CYCLE NO. X INTERSECTION
Q-Prediction
Observed
Refine predict

11. SYNCHRONISATION
Queued @ Red Detector Zone
Free flow
Platoon
Queued
Platoon

12. FIXATION

13. GAZE HEATMAP

14. POINTS OF INTEREST

16. COERCING (CALIBRATING) DRIVERS
• Use queues to discourage movements
• Flush out queues before arrival
• Greenwave along alternative route
• 4 - 6 weeks to get measurable benefits

17. OPERA ALGORITHM – Auckland CBD

18. 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%)

19. OPERA OPTIMISING BENEFITS
-20 % travel
time
$ 400
Savings/person/year
$0.25 billion /year
Travel time savings for
Auckland
500,000
trips in peak hr
11 min
trip in peak hr