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 | 89 | 2017 |
Simulating Demand-responsive Transportation: A Review of Agent-based Approaches N Ronald, R Thompson, S Winter Transport Reviews 35 (4), 404-421, 2015 | 85 | 2015 |
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 | 78 | 2012 |
An agent-based approach to modelling pedestrian behaviour N Ronald, L Sterling, M Kirley International Journal of Simulation 8 (1), 25-38, 2007 | 73 | 2007 |
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 | 54 | 2018 |
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 | 45 | 2013 |
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 | 38 | 2012 |
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 | 37 | 2017 |
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 | 23 | 2016 |
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 | 21 | 2015 |
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 | 20 | 2009 |
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 | 16 | 2007 |
Modelling pedestrian behaviour using the BDI architecture N Ronald, L Sterling Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, 161-164, 2005 | 16 | 2005 |
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 | 15 | 2017 |
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 | 12 | 2015 |
Pedestrian modelling: A comparative study using agent-based cellular automata N Ronald, M Kirley Computational Science–ICCS 2006, 248-255, 2006 | 11 | 2006 |
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 | 10 | 2017 |
Modelling the effects of social networks on activity and travel behaviour N Ronald TU Eindhoven, Netherlands, 2012 | 9 | 2012 |
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 | 9 | 2009 |