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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 €
0EC-Contrib. €
0Partnership
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0ALLEGRO 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.
cyclists
operations
techniques
cycling
degrees
scheduling
sensing
breakthroughs
predictively
predict
characterising
representation
remote
behavioural
analytics
learning
fusion
regulations
collection
turbulence
ground
augmented
variables
social
modes
interactions
establishing
drivers
issue
locations
media
cities
societal
considering
innovative
theories
accidents
spontaneous
patterns
models
deal
transportation
transitions
observe
events
freedom
organisation
safety
slow
serious
valid
abundant
fascinating
crowd
mode
traffic
share
until
geared
posing
travel
predicting
empirical
theory
reproducing
manifold
hard
insights
scientific
decision
pedestrians
simulation
examples
big
notoriously
car
contemporary
bad
sensors
phenomena
herding
flows
levels
accurately
self
walking
lack
analytical
rules
data
guided
tools
gaining
planning
experimentation
fast
Project "ALLEGRO" data sheet
The following table provides information about the project.
| Coordinator |
TECHNISCHE UNIVERSITEIT DELFT
Organization address contact info |
| 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.
| # | ||||
|---|---|---|---|---|
| 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 |
|---|---|---|---|
| 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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