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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/99F58DD9-C4EA-45F8-AD7B-BC6ABFE1A8A8 | ||
| Year | 2018 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
| License |
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| Bibliographic Citation | A.I. Delis, I.K. Nikolos and M. Papageorgiou, "A macroscopic multi-lane traffic flow model for ACC/CACC traffic dynamics,"Transport. Res. Rec.," vol. 2672, no. 20, pp. 178-192, 2018. doi: 10.1177/0361198118786823 https://doi.org/10.1177/0361198118786823 | ||
| Appears in Collections |
An extended second-order macroscopic traffic flow model is presented that describes multi-lane traffic dynamics and also incorporates the effects of adaptive cruise control (ACC) or cooperative ACC (CACC). The extended model equations stem from a recently proposed multi-lane gas-kinetic traffic flow (GKT) model that can simulate lane changes due to vehicle interactions as well as spontaneous ones. The proposed extension that models the effects of ACC/CACC satisfies the time-gap principle of such systems on each lane and allows for consideration of mixed traffic comprising both manual and ACC/CACC vehicles. Numerical simulations are performed for a particular three-lane motorway stretch in the United Kingdom, where recurrent traffic congestion is observed during the morning peak hours, so as to compare the effects of ACC/CACC in the traffic flow conditions with those resulting from manual driving.
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