can road trafﬁc volume information improve partitioning ... · lero (c) 2014 why sumo? • tapas,...

Lero (c) 2014

Can Road Traffic Volume Information Improve Partitioning

for Distributed SUMO?

Ulrich Dangel, Quentin Bragard, Patrick McDonagh, Anthony Ventresque and Liam Murphy

Ulrich Dangel !

@mr_ud | [email protected] http://dangel.im

mailto:[email protected]

http://dangel.im

Lero (c) 2014

TRAFFIC

• Software Engineering issues within Intelligent Transportation Systems

• VANET (NS3 & SUMO)

• Global Route balancing (SUMO)

• Distributed Simulation (SUMO)

Lero (c) 2014

Why SUMO?

• TAPAS, rl-world scenario, not 100x100 grid

• dSUMO

• TraCI

Lero (c) 2014

Objective

• Use traffic information to improve map partitioning

• Unbalanced partitions cause delay/waiting time

Lero (c) 2014

Datasets / Open Data

• Dublin - SCATS & TRIPS via dublinked

• SCATS preliminary data

• TRIPS - realtime

Lero (c) 2014

Dublin SCATS

Lero (c) 2014

Dublin TRIPS

Lero (c) 2014

Datasets / Open Data

• Dublin - SCATS & Trips via dublinked

• SCATS preliminary data

• TRIPS - realtime

• Census data

• Manual vehicle count

Scenario for inner city Dublin by Ronan Doolan

Lero (c) 2014

Partitioning

} map & reduce

Lero (c) 2014

Map Partitioning

Lero (c) 2014

Quadtree

Lero (c) 2014

Quadtree

0

5

10

15

20

Population (in Million)

North Rhine-Westphalia BavariaBaden-Württemberg Lower Saxony

Lero (c) 2014

Region Growing

Lero (c) 2014

Smart Quadtree

Lero (c) 2014

Region Growing

Lero (c) 2014

SParTSim

Lero (c) 2014

Heuristic

Lero (c) 2014

Heuristic

H(e) = dist(e)lanes(e)

Lero (c) 2014

Usage Data

Lero (c) 2014

Change Heuristic

• Use real-data / runtime data to improve partitioning

• Use volume data - TAPASCologne

• Can be calculated offline

Lero (c) 2014

Usage Data

Nw Node weight

ct total number of carswt

=ctn

cmax

ctn cars at node

Nw =X

wtctnct

Lero (c) 2014

Extensions

Lero (c) 2014

Extension Quadtree

Wp =X

Nwp

Lero (c) 2014

Extension Quadtree

Lero (c) 2014

Extension Smart Quadtree

XNwppartition to join =

Lero (c) 2014

Extension Smart Quadtree

Lero (c) 2014

Extension SParTSim

• Only start node selection was modified

• Trading phase uses the existing, established method

• Identify impact of starting node

Lero (c) 2014

Extension SParTSim

Lero (c) 2014

Equality

Lero (c) 2014

Equality QuadTree - 4

0.4

0.5

0.6

0.7

0.8

0 2000 4000 6000Step

Sim

pson

Inde

x

4 partitions

Lero (c) 2014

Equality QuadTree - 10

0.3

0.4

0.5

0.6

0 2000 4000 6000Step

Sim

pson

Inde

x

10 partitions − modified

10 partitions − unmodified

Lero (c) 2014

Equality - Smart QT - 4

0.4

0.6

0.8

1.0

0 2000 4000 6000Step

Sim

pson

Inde

x



Lero (c) 2014

Equality - Smart QT 8

0.3

0.4

0.5

0.6

0.7

0.8

0 2000 4000 6000Step

Sim

pson

Inde

x



Lero (c) 2014

Equality - SParTSim - 4

0.5

0.6

0.7

0.8

0 2000 4000 6000Step

Sim

pson

Inde

x



Lero (c) 2014

Equality - SParTSim 8

0.4

0.5

0.6

0.7

0 2000 4000 6000Step

Sim

pson

Inde

x



Lero (c) 2014

Conclusion

• Using volume data can improve partitioning

• Smart Quadtree (modified) can achieve better results than SParTSim

Questions?

Ulrich Dangel !

@mr_ud [email protected]

mailto:[email protected]

Lero (c) 2014

Outlook

• Update dSUMO to support latest SUMO

• Switch to embedded Python

• Evaluate repartitioning strategies

Lero (c) 2014

Wishlist ;)

• Speed up TRaCI

• Maybe luas scripting interface?

Lero (c) 2014

Visualisation

Lero (c) 2014

Simpson Diversity Index

Dt =1P

p=0(Cp/Ct)2p

Lero (c) 2014

Communication - QT

0

500

1000

1500

0 2000 4000 6000Step

Mes

sage

s

4 partitions



Lero (c) 2014

Communication - Smart QT

0

1000

2000

3000

0 2000 4000 6000Step

Mes

sage

s 4 partitions − modified




Lero (c) 2014

Communication

0

1000

2000

3000

4000

5000

0 2000 4000 6000Step

Mes

sage

s 4 partitions − modified




can road trafﬁc volume information improve partitioning ... · lero (c) 2014 why sumo? • tapas,...

Documents