Eco-Routing Navigation System Based on Multisource Historical and Real-Time Traffic Information

By Kanok Boriboonsomsin, M. Barth, Weihua Zhu, Alexander Vu. IEEE transactions on intelligent transportation systems (Print), 2012

319 citations recorded by the source corpus.

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Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, methodology): “a microscopic vehicle emission model (as in [212, 214]).”
Three Decades of Driver Assistance Systems: Review and Future Perspectives (2014, background): “Additionally, several studies indicate the advantages in saving gas/fuel by anticipatory driving and travelling to a destination via the optimal route (e.g. Zlocki et al. 2010, Bär et al. 2011, Boriboonsomsin et al. 2012, Dornieden et al. 2012, Popiv et al. 2010).”
Energy saving potentials of connected and automated vehicles (2018, background): “In particular we do not consider the topic of ecorouting that has been discussed in several recent publications, for instance in [16], [17], [18], [19].”
Real-Time Detection of Traffic From Twitter Stream Analysis (2015, unknown): “, shortest, fast driving, least polluting) routes [4], [6], [8]–[14].”