dynafloat: dynamic urban traffic flow management using floating car, planning, and infrastructure...

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Dynafloat: Dynamic urban traffic flow management using floating car, planning, and infrastructure data Topconsortia voor Kennis & Innovatie (TKI) and NWO 21-1-2015 Dynafloat project 1 By: Ahmad Al Hanbali, Industrial Engineering and Business Information Systems (IEBIS), University of Twente

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Dynafloat project 1

Dynafloat: Dynamic urban traffic flow management using floating car,

planning, and infrastructure data

Topconsortia voor Kennis & Innovatie (TKI)

and NWO

21-1-2015

By: Ahmad Al Hanbali, Industrial Engineering and Business Information Systems (IEBIS), University of Twente

2

Why Dynafloat Proposal?

• Accessibility: growing population in urban areas (70%), limited and expensive capacity

• Complexity: traffic network with wide interactions, big networks, heterogeneous users with unpredictable behavior

• Environmental and economic cost: particles and gas emission, noise. 1Billion euros estimated cost of traffic jams (NL 2012)

Key contribution: Tools for efficient (optimal) steering of road traffic in congested urban areas using real time data

21-1-2015 Dynafloat project

Dynafloat project 3

Data, technologies, opportunities

21-1-2015

Dynafloat project 4

Dynafloat: objective and structure

Dynamic control of both freight and passenger flows by using the massively available planning and floating car

data in addition to data from roadside equipment

21-1-2015

Work packages:1. in-car navigation systems2. road infrastructure3. pricing and rewarding WP 2

road Infrastruc

ture

WP 1

in-car control

WP 3 pricing

and rewarding

Dynafloat project 5

Scientific quality

• Stochastic operations research/ queueing theory– Uncertainties, interactions– Combined with real-time data

• New and key aspects:– Optimization on the network level– Trade-off individual users vs network optimization– Heterogeneous traffic flows– Robust control under moderate and severe congestion

21-1-2015

Consortium members

21-1-2015 Dynafloat project 6

Tools for efficient (optimal) steering of road traffic in congested urban areas using real time data

Outcomes and knowledge utilisation• Quantitative decision tools

queueing network models unpredictable traffic behavior interactions in urban areas KPIs: total time spent in congestion (waiting) and number of stops per vehicle

type• Models

facilitate what-if scenarios (accidents, rerouting of traffic) quantitative relation between events and consequences

• Output case studies scientific and professional publications 3 PhD theses with several master and bachelor projects

• Dissemination national European/international

21-1-2015 Dynafloat project 7