Personal Information
Unternehmen/Arbeitsplatz
Rotterdam Area, Netherlands Netherlands
Beruf
Professor at TU Delft, Strategic Advisor at ARANE
Branche
Education
Webseite
http://www.tudelft.nl
Info
In the past five years, my research has involved theory, modelling, and simulation of traffic and transportation networks. I focussed on innovative approaches to collect microscopic traffic data and the use of these data to
underpin the models and theories that I have developed, using new techniques for model identification. In the VIDI project ‘Tracing Congestion Dynamics’, microscopic traffic data are collected from an airborne platform. These data have resulted in a new generic theory of driving behavior, with as key elements driver adaptation, inter‐driver heterogeneity, and multi‐vehicle anticipation. The data collection method has been applied to a multitude of situations e.g. adver...
Tags
traffic flow theory
pedestrian flow
traffic management
crowd management
bicycle flow
urban mobility
its
resilience
active mode mobility
data collection
simulation
traffic information
drones
covid-19
self-organisation
bicycle
transportation
game theory
big data
evacuation
crowdmanagement
cooperative platooning
artificial intelligence
5g
monitoring
active modes
teleworking
cyclists
spatial footprint
digital divide
equity
living lab
mobility
robustness
disruptions
traffic networks
mode choice
route choice
pedestrian
demand responsive transit
mobility as a service
flood risk
intelligent transportation systems
building evacuation
fire safety
behaviour
building safety
traffic control
floating car data
safety
seamless multi-modal mobility
smart cities
smart mobility
mathematics
virtual reality
survival psychology
hydrodynamic models
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Präsentationen
(33)Dokumente
(1)Personal Information
Unternehmen/Arbeitsplatz
Rotterdam Area, Netherlands Netherlands
Beruf
Professor at TU Delft, Strategic Advisor at ARANE
Branche
Education
Webseite
http://www.tudelft.nl
Info
In the past five years, my research has involved theory, modelling, and simulation of traffic and transportation networks. I focussed on innovative approaches to collect microscopic traffic data and the use of these data to
underpin the models and theories that I have developed, using new techniques for model identification. In the VIDI project ‘Tracing Congestion Dynamics’, microscopic traffic data are collected from an airborne platform. These data have resulted in a new generic theory of driving behavior, with as key elements driver adaptation, inter‐driver heterogeneity, and multi‐vehicle anticipation. The data collection method has been applied to a multitude of situations e.g. adver...
Tags
traffic flow theory
pedestrian flow
traffic management
crowd management
bicycle flow
urban mobility
its
resilience
active mode mobility
data collection
simulation
traffic information
drones
covid-19
self-organisation
bicycle
transportation
game theory
big data
evacuation
crowdmanagement
cooperative platooning
artificial intelligence
5g
monitoring
active modes
teleworking
cyclists
spatial footprint
digital divide
equity
living lab
mobility
robustness
disruptions
traffic networks
mode choice
route choice
pedestrian
demand responsive transit
mobility as a service
flood risk
intelligent transportation systems
building evacuation
fire safety
behaviour
building safety
traffic control
floating car data
safety
seamless multi-modal mobility
smart cities
smart mobility
mathematics
virtual reality
survival psychology
hydrodynamic models
Mehr anzeigen