1. Traffic Flow
Nora Shora
Laura Tatsch

2. Exploring dynamic vs. static toll pricing in a traffic
Traffic Flow
Exploring dynamic vs. static toll pricing
in a traffic
network simulation model

3. Presentation Overview
Background
Problem
How we did it
Results
Conclusion
Recommendations

4. Background Traffic congestion in major cities worldwide
Capacity-limited transportation network
All of the following increase due to traffic:
Travel time
Number of stops
Travel costs
Delays
Air pollution
Accidents
Noise level

5. Problem
Initially
Examine how dynamic toll pricing will affect the flow of traffic of a Knoxville, TN simulation model.
Examine how multiple organizations controlling the toll booths in a city would affect traffic flow.
Realistically
Examine the effects of dynamic vs. static toll pricing in the network simulation model of Knoxville, TN

6. How We Did It Acquired simulation code and downloaded JBuilder
New Direction of Problem
Modified Code
Found freeway arcs and demographic zones
Added code to apply tolls on some freeway arcs
Added time and cost weights to each of the 9 zones

7. How We Did It Acquired simulation code and downloaded JBuilder
New Direction of Problem
Modified Code
Found freeway arcs and demographic zones
Added code to apply tolls on some freeway arcs
Added time and cost weights to each of the 9 zones

8. Blah blah

9. How We Did It Acquired simulation code and downloaded JBuilder
New Direction of Problem
Modified Code
Found freeway arcs and demographic zones
Added code to apply tolls on some freeway arcs
Added time and cost weights to each of the 9 zones

10. How We Did It //BEGINNING OF PRICING OF ARCS //TOP Freeway
// pricing scheme for link
if(this.getUpstreamIntersection().getIntersectionName().equalsIgnoreCase("n396") && this.getDownstreamIntersection().getIntersectionName().equalsIgnoreCase("n428")){
if( Master.timeNow <= 60){
travelCostCar = travelCostCar + (new Float(150)).floatValue()/100 ; }
else if(Master.timeNow > 60 && Master.timeNow > 90){
else if(Master.timeNow > 90 && Master.timeNow > 120){
else if(Master.timeNow > 120 && Master.timeNow > 180){
else if(Master.timeNow > 180 && Master.timeNow > 210){

11. How We Did It Acquired simulation code and downloaded JBuilder
New Direction of Problem
Modified Code
Found freeway arcs and demographic zones
Added code to apply tolls on some freeway arcs
Added time and cost weights to each of the 9 zones

12. How We Did It Zone Data =========== ZoneKeyID: 1 Centroid: 93
CarOwnershipPercent: 100
BikeOwnershipPercent: 50
ActivityPercents:
travelTimeWeight: 90
travelCostWeight: 10
travelDistanceWeight: 1
waitingTimeWeight: 1
walkingDistanceWeight: 1
comfortWeight: 1
safetyWeight: 1
transferWeight: 1

13. How We Did It Ran simulation with various static tolls
Added demand between zone 3 and zone 1 and ran simulation with static and dynamic tolls
Changed demand to be from zones 8 to 1 and 1 to 8
Ran simulation again with static and dynamic toll prices with new demand
Analyzed the results

14. How We Did It Demand Data ===========
StartInterval: EndInterval: Multiplier: 8
From/To

15. How We Did It Ran simulation with various static tolls
Added demand between zone 3 and zone 1 and ran simulation with static and dynamic tolls
Changed demand to be from zones 8 to 1 and 1 to 8
Ran simulation again with static and dynamic toll prices with new demand
Analyzed the results

16. Results

17. Results

18. Results

19. Conclusion
Increase in toll prices did not change average travel and stop times
Dynamic vs. static pricing
Dynamic helped reduce average travel and stop times when compared to static pricing
Dynamic pricing has this effect up to a specific initial toll price

20. Recommendations
More simulation runs should be completed for more complete results
Larger and smaller increases in tolls
Increase by 20 per time segment
Increase by 50 per time segment
Different time segments
Look at different organizational objectives