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Nicole Ronald
Nicole Ronald
Swinburne University of Technology
Dirección de correo verificada de alumni.unimelb.edu.au - Página principal
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Predicting susceptibility to use demand responsive transport using demographic and trip characteristics of the population
S Jain, N Ronald, R Thompson, S Winter
Travel Behaviour and Society 6, 44-56, 2017
862017
Simulating Demand-responsive Transportation: A Review of Agent-based Approaches
N Ronald, R Thompson, S Winter
Transport Reviews 35 (4), 404-421, 2015
802015
Modeling social interactions between individuals for joint activity scheduling
N Ronald, T Arentze, H Timmermans
Transportation research part B: methodological 46 (2), 276-290, 2012
772012
An agent-based approach to modelling pedestrian behaviour
N Ronald, L Sterling, M Kirley
International Journal of Simulation 8 (1), 25-38, 2007
712007
Comparison between ad-hoc demand responsive and conventional transit: a simulation study
Z Navidi, N Ronald, S Winter
Public Transport 10 (1), 147-167, 2018
532018
Determining the Viability of a Demand-Responsive Transport System under Varying Demand Scenarios
N Ronald, R Thompson, J Haasz, S Winter
Proceedings of the Sixth ACM SIGSPATIAL International Workshop on …, 2013
432013
On the engineering of agent-based simulations of social activities with social networks
N Ronald, V Dignum, C Jonker, T Arentze, H Timmermans
Information and Software Technology 54 (6), 625-638, 2012
382012
How much is trust: The cost and benefit of ridesharing with friends
Y Wang, S Winter, N Ronald
Computers, Environment and Urban Systems 65, 103-112, 2017
362017
Comparing demand responsive and conventional public transport in a low demand context
ZN Kashani, N Ronald, S Winter
2016 IEEE International Conference on Pervasive Computing and Communication …, 2016
222016
Comparison of Constrained and Ad Hoc Demand-Responsive Transportation Systems
N Ronald, RG Thompson, S Winter
Transportation Research Record: Journal of the Transportation Research Board …, 2015
202015
An agent-based framework for modelling social influence on travel behaviour
N Ronald, T Arentze, H Timmermans
Proceedings of the 18th World IMACS Congress and MODSIM09 International …, 2009
202009
A New Credit Mechanism for Negotiation with Incomplete Information in Semi-Cooperative Agent-Mediated Joint Activity-Travel Scheduling
H Ma, TA Arentze, N Ronald, HJP Timmermans
Transportation Research Record 2230 (2011), 104-110, 2011
17*2011
Agent-based approaches to pedestrian modelling
NA Ronald
The University of Melbourne, 2007
162007
Modelling pedestrian behaviour using the BDI architecture
N Ronald, L Sterling
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, 161-164, 2005
162005
Simulating ad-hoc demand-responsive transportation: a comparison of three approaches
N Ronald, R Thompson, S Winter
Transportation Planning and Technology 40 (3), 340-358, 2017
152017
Creating a Synthetic Population: A Comparison of Tools
S Jain, N Ronald, S Winter
Proceedings of 3rd Conference of Transportation Research Group (CTRG) of …, 2015
112015
Pedestrian modelling: A comparative study using agent-based cellular automata
N Ronald, M Kirley
Computational Science–ICCS 2006, 248-255, 2006
112006
Mobility Patterns in Shared, Autonomous, and Connected Urban Transport
N Ronald, Z Navidi, Y Wang, M Rigby, S Jain, R Kutadinata, R Thompson, ...
Disrupting Mobility, 275-290, 2017
102017
Modelling social interactions between individuals for joint activity-travel scheduling
N Ronald, TA Arentze, HJP Timmermans
Proceedings of the 12th International Association for Travel Behaviour Research, 2009
92009
A conceptual framework for specifying and developing pedestrian models
N Ronald, L Sterling, M Kirley
Proceedings of the 16th Biennial Conference of The Modelling and Simulation …, 2005
92005
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Artículos 1–20