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All Outputs (12)

Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management (2018)
Conference Proceeding
Faboya, O., Figueredo, G. P., Ryan, B., & Siebers, P. (2018). Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management. In The 21st IEEE International Conference on Intelligent Transportation Systems (144-149). https://doi.org/10.1109/ITSC.2018.8569946

The uneven utilisation of modes of transport has a big impact on traffic in transport pathway infrastrutures. For motor vehicles for instance, this situation explains rapid road deterioration and the large amounts of money invested in maintenance and... Read More about Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management.

An Artificial Intelligence Method for Comfort Level Prediction (2018)
Conference Proceeding
Masoud Sajjadian, S. M., Jafari, M., & Siebers, P. (2019). An Artificial Intelligence Method for Comfort Level Prediction. In KES-SEB 2018: Sustainability in Energy and Buildings 2018 - Proceedings of the 10th International Conference in Sustainability on Energy and Buildings (169-177). https://doi.org/10.1007/978-3-030-04293-6_17

With the rapid demand for the energy efficient consumption in buildings, bridging the gap between predicted and measured performance is essential. However, recent studies show that there is a significant mismatch between predicted and actual building... Read More about An Artificial Intelligence Method for Comfort Level Prediction.

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom (2018)
Journal Article
Figueredo, G. P., Agrawal, U., Mase, J., Mesgarpour, M., Wagner, C., Soria, D., …John, R. (2019). Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems, 20(9), 3324-3336. https://doi.org/10.1109/TITS.2018.2875343

Although driving behaviour has been largely studied amongst private motor vehicles drivers, the literature addressing heavy goods vehicle (HGV) drivers is scarce. Identifying the existing groups of driving stereotypes and their proportions enables re... Read More about Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom.

An agent based modelling approach for the office space allocation problem (2018)
Conference Proceeding
Dediu, A., Landa-Silva, D., & Siebers, P. (2018). An agent based modelling approach for the office space allocation problem.

This paper describes an agent based simulation model to create solutions for the office space allocation (OSA) problem. OSA is a combinatorial optimization problem concerned with the allocation of available office space to a set of entities such as p... Read More about An agent based modelling approach for the office space allocation problem.

How do travellers decide: a stochastic modelling approach to determine decision factor significance (2018)
Conference Proceeding
Olusola, F. T., Siebers, O., Ryan, B., & Figueredo, G. P. (2018). How do travellers decide: a stochastic modelling approach to determine decision factor significance

Many factors are involved in travellers' mode choice decision processes. Such factors include individuals' physical, cognitive, and emotional abilities, which play a significant role in travellers' attitude and mode usage patterns. Understanding how... Read More about How do travellers decide: a stochastic modelling approach to determine decision factor significance.

Pure Functional Epidemics: An Agent-Based Approach (2018)
Conference Proceeding
Thaler, J., Altenkirch, T., & Siebers, P. (2018). Pure Functional Epidemics: An Agent-Based Approach. In IFL'18 Proceedings of 30th Symposium on Implementation and Application of Functional Languages, 5-7 September 2018, Lowell, Mass., USA (1-12). https://doi.org/10.1145/3310232.3310372

Agent-Based Simulation (ABS) is a methodology in which a system is simulated in a bottom-up approach by modelling the micro interactions of its constituting parts, called agents, out of which the global system behaviour emerges. So far mainly object-... Read More about Pure Functional Epidemics: An Agent-Based Approach.

Organisational plasticity: a community modelling experience (2018)
Presentation / Conference
Secchi, D., Siebers, P., & Herath, D. B. (2018, August). Organisational plasticity: a community modelling experience. Paper presented at Social Simulation Conference 2018 (SSC 2018), Stockholm, Sweden

This article is concerned with an attempt to provide a conceptual definition of organisational plasticity together with the means to operationalise it. Broadly speaking, this is the ability to implement or to divest change through a fluid adaptation... Read More about Organisational plasticity: a community modelling experience.

Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis (2018)
Journal Article
Tran, T. H., Mao, Y., Nathanail, P., Siebers, P., & Robinson, D. (2019). Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis. Omega, 85, 156-165. https://doi.org/10.1016/j.omega.2018.06.008

© 2018 Elsevier Ltd In this paper, we develop an integrated model for slacks-based measure (SBM) simultaneously of both the efficiency and the super-efficiency for decision-making units (DMUs) in data envelopment analysis (DEA). Unlike the traditiona... Read More about Integrating slacks-based measure of efficiency and super-efficiency in data envelopment analysis.

An agent-based model for false belief tasks: Belief Representation Systematic Approach (BRSA) (2018)
Book Chapter
Yousefi, Z., Heinke, D., Apperly, I., & Siebers, P. (2018). An agent-based model for false belief tasks: Belief Representation Systematic Approach (BRSA). In Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2018, 111-126. Springer. doi:10.1007/978-3-319-93372-6_14

A meaningful social life relies on understanding others’ minds and behaviours. The ability to reason about an individual’s mental states such as beliefs and desires, and to understand and predict how these mental states shape an individual’s behaviou... Read More about An agent-based model for false belief tasks: Belief Representation Systematic Approach (BRSA).

A smart phone based multi-floor indoor positioning system for occupancy detection (2018)
Conference Proceeding
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (in press). A smart phone based multi-floor indoor positioning system for occupancy detection.

At present there is a lot of research being done simulating building environment with artificial agents and predicting energy usage and other building performance related factors that helps to promote understanding of more sustainable buildings. To u... Read More about A smart phone based multi-floor indoor positioning system for occupancy detection.

Proposal of a design pattern for embedding the concept of social forces in human centric simulation models (2018)
Conference Proceeding
Siebers, P., Deng, Y., Thaler, J., Schnädelbach, H., & Özcan, E. (2018). Proposal of a design pattern for embedding the concept of social forces in human centric simulation models. In A. Anagnostou, M. Fakhimi, R. Meskarian, & D. Robertson (Eds.), Proceedings of the Operational Research Society Simulation Workshop 2018 (SW18) (88-97)

There exist many papers that explain the social force model and its application for modelling pedestrian dynamics. None of these papers, however, explains how to implement the social force model in order to use it for systems simulation studies. In t... Read More about Proposal of a design pattern for embedding the concept of social forces in human centric simulation models.

On the multi-agent stochastic simulation of occupants in buildings (2018)
Journal Article
Chapman, J., Siebers, P., & Robinson, D. (2018). On the multi-agent stochastic simulation of occupants in buildings. Journal of Building Performance Simulation, 11(5), 604-621. https://doi.org/10.1080/19401493.2017.1417483

This paper introduces a new general platform for the simulation of occupants’ presence and behaviours. Called No-MASS (Nottingham Multi-Agent Stochastic Simulation), this generates a synthetic population of agents, predicts their presence and, in t... Read More about On the multi-agent stochastic simulation of occupants in buildings.