Dynafloat: Dynamic urban traffic flow management using floating car, planning, and infrastructure data Topconsortia voor Kennis & Innovatie (TKI) and NWO.

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Dynafloat: Dynamic urban traffic flow management using floating car, planning, and infrastructure data Topconsortia voor Kennis & Innovatie (TKI) and NWO Dynafloat project1 By: Ahmad Al Hanbali, Industrial Engineering and Business Information Systems (IEBIS), University of Twente

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 Dynafloat project 2

Data, technologies, opportunities Dynafloat project3

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 Dynafloat project4 Work packages: 1.in-car navigation systems 2.road infrastructure 3.pricing and rewarding WP 2 road Infrastruc ture WP 1 in-car control WP 3 pricing and rewarding

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 Dynafloat project5

Consortium members Dynafloat project6 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 Dynafloat project7