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ALLEGRO SIGNED

unrAvelLing sLow modE travelinG and tRaffic: with innOvative data to a new transportation and traffic theory for pedestrians and bicycles

Total Cost €

0

EC-Contrib. €

0

Partnership

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 ALLEGRO project word cloud

Explore the words cloud of the ALLEGRO project. It provides you a very rough idea of what is the project "ALLEGRO" about.

geared    patterns    considering    flows    transportation    insights    transitions    big    safety    augmented    phenomena    simulation    valid    innovative    gaining    slow    behavioural    learning    operations    self    cities    scheduling    scientific    fusion    reproducing    societal    experimentation    walking    regulations    planning    serious    tools    accidents    analytical    models    traffic    lack    predicting    social    sensors    establishing    techniques    analytics    organisation    freedom    interactions    predictively    observe    crowd    pedestrians    representation    accurately    hard    data    theory    travel    degrees    fascinating    deal    cycling    collection    remote    locations    notoriously    issue    posing    examples    cyclists    media    levels    drivers    manifold    until    abundant    ground    contemporary    characterising    sensing    empirical    rules    fast    spontaneous    variables    predict    events    bad    mode    decision    herding    guided    turbulence    share    breakthroughs    modes    car    theories   

Project "ALLEGRO" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT DELFT 

Organization address
address: STEVINWEG 1
city: DELFT
postcode: 2628 CN
website: www.tudelft.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Project website http://www.allegro-erc.nl
 Total cost 2˙458˙699 €
 EC max contribution 2˙458˙699 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-ADG
 Funding Scheme ERC-ADG
 Starting year 2015
 Duration (year-month-day) from 2015-11-01   to  2020-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) coordinator 2˙458˙699.00

Map

 Project objective

A major challenge in contemporary traffic and transportation theory is having a comprehensive understanding of pedestrians and cyclists behaviour. This is notoriously hard to observe, since sensors providing abundant and detailed information about key variables characterising this behaviour have not been available until very recently. The behaviour is also far more complex than that of the much better understood fast mode. This is due to the many degrees of freedom in decision-making, the interactions among slow traffic participants that are more involved and far less guided by traffic rules and regulations than those between car-drivers, and the many fascinating but complex phenomena in slow traffic flows (self-organised patterns, turbulence, spontaneous phase transitions, herding, etc.) that are very hard to predict accurately.

With slow traffic modes gaining ground in terms of mode share in many cities, lack of empirical insights, behavioural theories, predictively valid analytical and simulation models, and tools to support planning, design, management and control is posing a major societal problem as well: examples of major accidents due to bad planning, organisation and management of events are manifold, as are locations where safety of slow modes is a serious issue due to interactions with fast modes.

This programme is geared towards establishing a comprehensive theory of slow mode traffic behaviour, considering the different behavioural levels relevant for understanding, reproducing and predicting slow mode traffic flows in cities. The levels deal with walking and cycling operations, activity scheduling and travel behaviour, and knowledge representation and learning. Major scientific breakthroughs are expected at each of these levels, in terms of theory and modelling, by using innovative (big) data collection and experimentation, analysis and fusion techniques, including social media data analytics, using augmented reality, and remote and crowd sensing.

 Publications

year authors and title journal last update
List of publications.
2017 Galama, I.M., W. Daamen, S.C. van der Spek, and S.P. Hoogendoorn
Accessibility measures for cycling: case Amsterdam
published pages: , ISSN: , DOI:
hEART 2017 2019-07-04
2016 Zomer, L.B., O. Cats, and S.P. Hoogendoorn
Unravelling Urban Cognition: Quantification of Distortion of Perceived relative Locations
published pages: , ISSN: , DOI:
hEART conference 2016 2019-07-04
2017 Galama, I.M., W. Daamen, M. Hünneman, J.A. Annema, and S.P. Hoogendoorn
Stated and Revealed Preference Study of Pedestrian Route Choices at the Mass-Event SAIL Amsterdam 2015
published pages: , ISSN: , DOI:
Proceedings of the Transportation Research Board 96th Annual Meeting 17-02970 2019-07-04
2017 Duives, D.C., W. Daamen, and S.P. Hoogendoorn
The Impact Of The Heterogeneity Of Crowds On The Pedestrian Traffic State In Bottlenecks
published pages: , ISSN: , DOI:
TGF 2017 2019-07-04
2017 Yuan, Y., B. Goñi-Ros, W. Daamen, and S.P. Hoogendoorn
Empirical data collections for cyclist flows in real-time observations and controlled experiments
published pages: , ISSN: , DOI:
Velo-City 2017 2019-07-04
2017 Galama, I.M., W. Daamen, and S.P. Hoogendoorn
Development of Active Mode Networks in Cities
published pages: , ISSN: , DOI:
Velo-City 2017 2019-07-04
2017 Daamen, W., J.P.A. van den Heuvel, V.L. Knoop, and S.P. Hoogendoorn
Macroscopic Fundamental Diagram For Platforms
published pages: , ISSN: , DOI:
TGF 2017 2019-07-04
2017 Serge P. Hoogendoorn, Winnie Daamen, Victor L. Knoop, Jeroen Steenbakkers, Majid Sarvi
Macroscopic Fundamental Diagram for pedestrian networks: theory and applications
published pages: 480-496, ISSN: 2352-1465, DOI: 10.1016/j.trpro.2017.05.027
Transportation Research Procedia 23 2019-07-04
2017 S.P. Hoogendoorn, W. Daamen, V.L. Knoop, J. Steenbakkers, M. Sarvi
Macroscopic Fundamental Diagram for pedestrian networks: Theory and applications
published pages: , ISSN: 0968-090X, DOI: 10.1016/j.trc.2017.09.003
Transportation Research Part C: Emerging Technologies 2019-07-04
2017 Hänseler, F.S., J.P.A. van den Heuvel, O. Cats, W. Daamen, and S.P. Hoogendoorn
Integrated trip assignment in passenger rail systems: A mesoscopic pedestrian flow model
published pages: , ISSN: , DOI:
TGF 2017 2019-07-04
2017 Gavriilidou, A., Y. Yuan, H. Farah and S. P. Hoogendoorn
Face validation of a microscopic cycling behaviour model using differential game theory
published pages: , ISSN: , DOI:
hEART 2017 2019-07-04
2017 Van Oijen, T., W. Daamen, and S.P. Hoogendoorn
Activity Recommendation Using A Decentralized Proportional Feedback Mechanism
published pages: , ISSN: , DOI:
TGF 2017 2019-07-04
2017 Hänseler, F.S., J.P.A. van den Heuvel, O. Cats, W. Daamen, and S.P. Hoogendoorn
Integrated trip assignment in passenger rail systems: A mesoscopic pedestrian flow model
published pages: , ISSN: , DOI:
hEART 2017 2019-07-04
2017 Ton, D., D.C. Duives, O. Cats, and S.P. Hoogendoorn
Who, Why & When do people Walk or Cycle?
published pages: , ISSN: , DOI:
Velo-City 2017 2019-07-04
2017 Hoogendoorn, S.P., I.M. Galama, G. Gelauff, and W. Daamen
Chaos-like Interactions of Competing Transport Networks
published pages: , ISSN: , DOI:
TGF 2017 2019-07-04
2017 Hoogendoorn, S.H., W. Daamen, and Y. Yuan
Modelling shared space: conditions for efficient self-organisation
published pages: , ISSN: , DOI:
Velo-City 2017 2019-07-04
2017 Gong, V., J. Yang, A. Bozzon, W. Daamen, and S.P. Hoogendoorn
Attendees Density Estimation Using Social Media in City-Scale Event
published pages: , ISSN: , DOI:
ICT Open 2017 2019-07-04
2017 Ton, D., D.C. Duives, O. Cats, and S.P. Hoogendoorn
Evaluating a data-driven approach for choice set identification: A case study on bicycle route choice in Amsterdam
published pages: , ISSN: , DOI:
Proceedings of the International choice modelling conference 2017 2019-07-04
2017 Daamen, W., Y. Yuan, and S.P. Hoogendoorn
Modeling individual cyclist driving behavior by optimal control
published pages: , ISSN: , DOI:
Velo-City 2017 2019-07-04
2017 Yuan, Y., B. Goñi-Ros, W. Daamen, and S.P. Hoogendoorn
Investigating cyclist interaction behavior through a controlled laboratory experiment
published pages: , ISSN: , DOI:
Velo-City 2017 2019-07-04
2016 Serge Hoogendoorn, Winnie Daamen
Bicycle Headway Modeling and Its Applications
published pages: 34-40, ISSN: 0361-1981, DOI: 10.3141/2587-05
Transportation Research Record: Journal of the Transportation Research Board 2587 2019-07-04
2016 Dorine C. Duives, Winnie Daamen, Serge P. Hoogendoorn
Continuum modelling of pedestrian flows — Part 2: Sensitivity analysis featuring crowd movement phenomena
published pages: 36-48, ISSN: 0378-4371, DOI: 10.1016/j.physa.2015.11.025
Physica A: Statistical Mechanics and its Applications 447 2019-07-04
2017 Ton, D., O. Cats, D.C. Duives, and S.P. Hoogendoorn
How do people cycle in Amsterdam? Estimating cyclists’ route choice determinants using GPS data from an urban area
published pages: , ISSN: , DOI: 10.3141/2662-09
Transportation Research Record 2019-07-04
2016 Hoogendoorn, S.P., W. Daamen, D. Duives, and Y. Yuan
Estimating travel times using WiFi sensor data
published pages: , ISSN: , DOI:
Tristan Symposium 2016 2019-07-04
2017 Zomer, L.B., D.C. Duives, O. Cats, and S.P. Hoogendoorn
Spatial Analytics for the Identification of Salient Urban Areas
published pages: , ISSN: , DOI:
CUPUM 2017 2019-07-04
2017 Daamen, W. and S.P. Hoogendoorn
Bicycle headway modelling and its applications
published pages: , ISSN: , DOI:
Velo-City 2017 2019-07-04
2017 Gavriilidou, A., Y. Yuan, H. Farah and S. P. Hoogendoorn
Microscopic cycling behaviour model using differential game theory
published pages: , ISSN: , DOI:
TGF 2017 2019-07-04
2017 Duives, D.C., Y. Yuan, W. Daamen, and S.P. Hoogendoorn
Multi-directional ASM for pedestrian traffic state estimation
published pages: , ISSN: , DOI:
hEART 2017 2019-07-04
2016 Yufei Yuan, Serge Hoogendoorn
Generalized Adaptive Smoothing Method for State Estimation of Generic Two-Dimensional Flows
published pages: 18-24, ISSN: 0361-1981, DOI: 10.3141/2561-03
Transportation Research Record: Journal of the Transportation Research Board 2561 2019-07-04
2017 Duives, D.C., W. Daamen, and S.P. Hoogendoorn
Operational walking dynamics of crowd modelled by means of linear regression
published pages: , ISSN: , DOI:
Transportation Research Record 2019-07-04
2017 Ton, D., D.C. Duives, O. Cats, and S.P. Hoogendoorn
Evaluating a data-driven approach for choice set identification: A case study on bicycle route choice in Amsterdam
published pages: , ISSN: , DOI:
ICM Conference 2017 2019-07-04
2017 Yuan, Y., B. Goñi-Ros, T.P. van Oijen, W. Daamen, and S.P. Hoogendoorn
Social-force model describing pedestrian and cyclist behaviour in shared spaces
published pages: , ISSN: , DOI:
TGF 2017 2019-07-04
2018 Ton, D., Duives, D., Cats, O., Hoogendoorn-Lanser, S. & Hoogendoorn, S.
Determinants of the consideration mode choice set
published pages: , ISSN: , DOI:
hEART 2019-05-29
2018 Ton, D., Duives, D., Cats, O., Hoogendoorn-Lanser, S. & Hoogendoorn, S.
Cycling or walking? Determinants of mode choice in the Netherlands
published pages: , ISSN: , DOI:
TRB 2019-05-29
2017 Zomer, L.; Duives, D.C.; Cats, O.; Hoogendoorn, S.P.
Spatial Analytics for the Identification of Salient Urban Areas
published pages: , ISSN: , DOI:
15th International Conference on Computers in Urban Planning and Urban Management. Adelaide, Australia 1 2019-05-29
2018 V. X. Gong, J. Yang, W. Daamen, A. Bozzon, S. Hoogendoorn, G. J. Houben
Using Social Media for Attendees Density Estimation in City-Scale Events
published pages: 36325-36340, ISSN: 2169-3536, DOI: 10.1109/access.2018.2845339
IEEE Access 6 2019-05-28
2016 Femke van Wageningen-Kessels, Ludovic Leclercq, Winnie Daamen, Serge P. Hoogendoorn
The Lagrangian coordinate system and what it means for two-dimensional crowd flow models
published pages: 272-285, ISSN: 0378-4371, DOI: 10.1016/j.physa.2015.09.048
Physica A: Statistical Mechanics and its Applications 443 2019-05-28
2018 Femke van Wageningen-Kessels, Winnie Daamen, Serge P. Hoogendoorn
Two-Dimensional Approximate Godunov Scheme and What It Means For Continuum Pedestrian Flow Models
published pages: 547-563, ISSN: 0041-1655, DOI: 10.1287/trsc.2017.0793
Transportation Science 52/3 2019-05-28
2019 Y. Yuan, B. Goñi-Ros, M. Poppe, W. Daamen, and S.P. Hoogendoorn
Analysis of bicycle headway distribution, saturation flow and capacity at a signalized intersection using empirical trajectory data
published pages: , ISSN: , DOI:
TRB 2019-05-28
2018 Zomer, L.B., Schneider, F., Ton, D., Duives, D.C., Cats, O., Hoogendoorn-Lanser, S. Hoogendoorn, S.P.
Wayfinding styles: The relationship between mobility patterns and navigational preferences
published pages: , ISSN: , DOI:
IATBR 2019-05-28
2018 Danique Ton, Dorine Duives, Oded Cats, Serge Hoogendoorn
Evaluating a data-driven approach for choice set identification using GPS bicycle route choice data from Amsterdam
published pages: 105-117, ISSN: 2214-367X, DOI: 10.1016/j.tbs.2018.07.001
Travel Behaviour and Society 13 2019-05-28
2018 Schneider, F., Ton, D., Zomer, L-B., Daamen, W., Duives, D., Hoogendoorn-Lanser, S., Hoogendoorn, S.P.
Trip chains: a comparison among latent mobility pattern classes
published pages: , ISSN: , DOI:
IATBR 2019-05-28
2019 B. Goñi-Ros, H.H. Bui, Y. Yuan, W. Daamen, H.L. Vu, and S.P. Hoogendoorn
Macroscopic Pedestrian Simulation Using Smoothed Particle Hydrodynamics
published pages: , ISSN: , DOI:
ISTTT 2019-05-28
2018 Wierbos, M.J., Goni-Ros, B., Knoop, V.L., Hoogendoorn, S.P.
Bicycle Queue Dynamics: Influence of Queue Density and Merging Cyclists on Discharge Rate at an Intersection
published pages: , ISSN: , DOI:
TRB 2019-05-29
2018 Wierbos, M.J., Hanseler, F., Knoop, V.L. and Hoogendoorn, S.P.
A Macroscopic Flow Model For Mixed Traffic Using Two-Dimensional Speed Functions
published pages: , ISSN: , DOI:
MATTS 2019-05-28
2018 Wierbos, M.J., Hanseler, F., Knoop, V.L. and Hoogendoorn, S.P.
A Macroscopic Flow Model for Mixed Bicycle-Car Traffic
published pages: , ISSN: , DOI:
hEART 2019-05-28
2018 Giulia Reggiani, Azita Dabiri, Winnie Daamen, and Serge Hoogendoorn
Neural Network based model for estimation of bicycle waiting times at intersections
published pages: , ISSN: , DOI:
Cycling Research Board 2019-05-28
2018 Anderson, P. and Knoop, V,L
Pedestrians and Cars in Urban Networks: Effect of Various Interaction Strategies
published pages: , ISSN: , DOI:
2019-05-28
2018 Gavriilidou, A., Yuan, Y., Farah, H., Hoogendoorn, S.P.
Determinants of cyclists’ operational decision making in the Netherlands
published pages: , ISSN: , DOI:
IATBR 2019-05-29
2018 Knoop, V.L. and Daganzo, C.F.
The Effect of Crosswalks on Traffic Flow
published pages: , ISSN: , DOI:
European Journal of Transport and Infrastructure Research Vol 18, Issue 2 2019-05-28
2018 D. C. Duives, W. Daamen, S. P. Hoogendoorn
Monitoring the Number of Pedestrians in an Area: The Applicability of Counting Systems for Density State Estimation
published pages: 1-14, ISSN: 0197-6729, DOI: 10.1155/2018/7328074
Journal of Advanced Transportation 2018 2019-05-28
2018 B. Goñi-Ros, Y. Yuan, W. Daamen, and S.P. Hoogendoorn
Empirical analysis of the macroscopic characteristics of bicycle flow during the queue discharge process at a signalized intersection
published pages: , ISSN: , DOI:
TRB 2019-05-28
2018 Wierbos, M.J., Knoop, V.L. and Hoogendoorn, S.P.
Empirical Data Analysis: Travel Times of Bicyclists in a Mixed Traffic Situation
published pages: , ISSN: , DOI:
Cycling Research Board 2019-05-28
2018 Y. Yuan, B. Goñi-Ros, T. P. van Oijen, W. Daamen, and S.P. Hoogendoorn
Social-force model describing pedestrian and cyclist behaviour in shared spaces
published pages: , ISSN: , DOI:
PED2018 2019-05-28
2018 Y. Yuan, T. Paul, L. Tait, W. Daamen, and S.P. Hoogendoorn
Facilitating high performance shared space design through microscopic simulation
published pages: , ISSN: , DOI:
CRB 2019-05-28
2018 Ton, D., Zomer, L-B., Schneider, F., Hoogendoorn-Lanser, S., Duives, D., Cats, O., & Hoogendoorn, S.
Latent classes of daily mobility patterns: The relationship with attitudes towards modes
published pages: , ISSN: , DOI:
IATBR 2019-05-29
2018 Gong, V.X., Winnie Daamen, Alessandro Bozzon and Serge P. Hoogendoorn
Crowd Characterization using Social Media Data in City-Scale Events for Crowd Management
published pages: , ISSN: , DOI:
Transportation Research Board Annual Meeting 2019-05-28
2018 W. Daamen, D.C. Duives, Y. Yuan, and S.P. Hoogendoorn
Real-time crowd monitoring dashboard
published pages: , ISSN: , DOI:
TRB 2019-05-28
2017 van Oijen, T.P., Winnie Daamen and Serge P. Hoogendoorn
Activity Location Recommendation Using a Decentralized Proportional Feedback Mechanism
published pages: , ISSN: , DOI:
Traffic and Granular Flow 2017 2019-05-28
2018 Schneider, F., Daamen, W., Hoogendoorn-Lanser, S., Hoogendoorn, S.P.
How far do people walk and cycle for different activities? Evidence from the Netherlands
published pages: , ISSN: , DOI:
hEART 2019-05-28

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