Real-time traffic

modelling & short

term predictions

HANNOVER MESSE

APRIL 7-11, 2014

Sensor Network city of Assen

Real-time traffic model in a nutshell

• Estimation of actual traffic situation based on data past 5 minutes (counts,

travel times, speeds)

• Short term traffic prediction next 30 minutes up to 1 hour: flows, travel times,

spare capacity

• Adaptive modelling system

• Input for

– Smart navigation in-car (individual level)

– Dynamic Traffic Management

(public level)

Architecture Real-time traffic model

Real-time trafficdatabase

Traffic

counts

Demand modelcalibration

A posterioridemandmatrix

Calibration

effect

Dynamic trafficassignment

A priori matrices(/5min /weekday)

Traffic forecastmatrices

New 5 minutea priori matrix

Previousassignment

(up to t-5 min)

Traffic forecast - Flow

- Travel time

- Spare capacity

Real-time trafficdatabase

Automatic travel

time validation

Travel

times

Every 5 minutes !

Architecture of OmniTRANS

• An integrated software package for transport modelling

• Static & Dynamic

• All modes: car, truck, PT, bike

Model network

• 15 minutes travel time

around city of Assen

• Car traffic

Rolling horizon

• Realistically loaded dynamic (non-empty) network required

• Adapted in Omnitrans - StreamLine

• Internal situation saved to file

• Represents all about condition on all links, link’s cells, speeds, spill back, junctions,

zones, et cetera

Rolling horizon

9:00

9:05

9:10

9:15

9:20

9:00

8:55

9:05

9:10

9:15

9:20

9:25

9:30

9:35

9:40

9:45

9:50

Start time

simu

lation

time

Legenda

Present

Prediction

Memory Dump

History

On-line viewer

On-line viewer

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pagina 12

Knowledge economy = growth of cities

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The Sensor City project is being facilitated by the European Union, the European

Regional Development Fund, the Ministry of Economic Affairs, Agriculture &

Innovation and The Northern Netherlands Provinces, KOERS NOORD.

Consortium Sensor City Mobility

www.sensorcity.nl

info@sensorcity.nl

kfriso@dat.nl

+31 570 666 812