Fleet Decarbonisation Tools
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3. Dadhich, P., et al., Carbon for Money Model: Design and development of a decision-support tool for sustainable road freight operations, in 26th Conference of the Nordic Logistics Research Network (NOFOMA) 2014: Copenhagen.
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7. Dadhich, P., et al., SRF Optimiser. 2015, Centre for Sustainable Road Freight.
8. Bishop, J.D.K., N.P.D. Martin, and A.M. Boies, Quantifying the role of vehicle size, powertrain technology, activity and consumer behaviour on new UK passenger vehicle fleet energy use and emissions under different policy objectives. Applied Energy, 2016. 180: p. 196-212.
9. Bishop, J.D.K., M.E.J. Stettler, and A.M. Boies, Creating engine maps of transient fuel use and emissions under real-world driving conditions, in 95th Transportation Research Board Annual Meeting. 2016: Washington DC.
10. Bishop, J.D.K., et al., Engine maps of fuel use and emissions from transient driving cycles. Appl. Energy, 2016. 183: p. 202-217. DOI: 10.1016/j.apenergy.2016.08.175.
11. Bishop, J.D.K., N. Molden, and A.M. Boies, Towards more accurate fuel use and NOx emissions factors from modern passenger vehicles in Europe, in 27th CRC Workshop on Real-World Emissions. 2017: Long Beach, CA.
12. Na, X. and D. Cebon. In-service logging of freight vehicle performance.Centre for Sustainable Road Freight Technical Report CUED/C-SRF/TR11 (in preparation), 2017, Cambridge University Engineering Department: Cambridge.
13. Madhusudhanan, A.K., X. Na, and D. Cebon, A computationally efficient framework for modelling energy consumption of ICE and electric vehicles. Energies, 2021. 14(7): p. 2031. DOI: https://doi.org/10.3390/en14072031.
14. Madhusudhanan, A.K., et al., Engine Fuel Consumption Modelling using Prediction Error Identification and On-road Data. IEEE Transactions on Intelligent Vehicles, 2022. April. DOI: https://doi.org/10.1109/TIV.2022.3167855.
