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Highway traffic state estimation with mixed connected and conventional vehicles: microscopic simulation-based testing

Fountoulakis Markos, Bekiaris-Liberis Nikolaos, Roncoli Claudio, Papamichail Ioannis, Papageorgiou Markos

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Year 2017
Type of Item Peer-Reviewed Journal Publication
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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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