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Title: Introducing Vehicle Dynamics in Car-Following Logic: The MFC Vehicle Acceleration Model
Accession Number: 01660291
Record Type: Component
Abstract: Most car-following models in microsimulation software use a set of equations, which are basically independent from the vehicle dynamics. The vehicle, the driver and the road conditions are modeled in such deterministic way that for a given pair of start-desired speed all vehicles/drivers demonstrate the same behavior, which is fundamentally different from what happens in reality. Since car-following models are used to simulate traffic evolution rather than vehicle motion, the low computational and implementation cost of the underlying models is more important than a reliable representation of the microscopic vehicle dynamics. However, in studies where energy consumption estimation is important and more in general when vehicle dynamics can play a role in the simulation study, current car-following logic can lead to significant error in the accuracy of the prediction and to misleading conclusions. In order to contribute to close this gap, the present paper proposes a novel vehicle acceleration model (MFC) composed by three interconnected layers: i) the driver style which is simulated via a proposed ‘willingness to accelerate curve’; the driver/vehicle gear shifting strategy; and the vehicle’s acceleration curve. The model input takes two offline-calibratable parameters, gear shifting style and driver style, it is not computationally expensive and provides very accurate predictions in terms of both acceleration profile and energy consumption. Comparative results along with well-known Gipps model and Rakha and Lucic Vehicle Dynamics Model acceleration model which is part of RPA model are presented and prove the robustness of the proposed MFC approach.
Supplemental Notes: This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
Report/Paper Numbers: 18-04642
Language: English
Authors: Makridis, MichailFontaras, GeorgiosCiuffo, BiagioMattas, KostantinosThiel, ChristianPagination: 20p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-04642
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:08AM
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