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All Outputs (3)

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.

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.

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.