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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/D8CA7219-4D7F-41D7-95E2-26DB945D2A56 | ||
| Year | 2017 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
| License |
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| Bibliographic Citation | M. Fountoulakis, N. Bekiaris-Liberis, C. Roncoli, I. Papamichail and M. Papageorgiou, "Highway traffic state estimation with mixed connected and conventional vehicles: microscopic simulation-based testing," Transp. Res. Part C Emerg. Technol., vol. 78, pp. 13-33, May 2017. doi: 10.1016/j.trc.2017.02.015 https://doi.org/10.1016/j.trc.2017.02.015 | ||
| Appears in Collections |
This paper presents a thorough microscopic simulation investigation of a recently proposed methodology for highway traffic estimation with mixed traffic, i.e., traffic comprising both connected and conventional vehicles, which employs only speed measurements stemming from connected vehicles and a limited number (sufficient to guarantee observability) of flow measurements from spot sensors. The estimation scheme is tested using the commercial traffic simulator Aimsun under various penetration rates of connected vehicles, employing a traffic scenario that features congested as well as free-flow conditions. The case of mixed traffic comprising conventional and connected vehicles equipped with adaptive cruise control, which feature a systematically different car-following behavior than regular vehicles, is also considered. In both cases, it is demonstrated that the estimation results are satisfactory, even for low penetration rates.
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