Optimization-based path-planning for connected and non-connected automated vehicles
نویسندگان
چکیده
A path-planning algorithm for connected and non-connected automated road vehicles on multilane motorways is derived from the opportune formulation of an optimal control problem. In this framework, objective function to be minimized contains appropriate respective terms reflect: goals vehicle advancement; passenger comfort; avoidance collisions with other departures. Connectivity implies, within present work, that can exchange each (V2V) real-time information about their last generated short-term path. For numerical solution problem, efficient feasible direction (FDA) used. To ensure high-quality local minima, a simplified Dynamic Programming (DP) also conceived deliver initial guess trajectory start FDA iterations. Thanks very low computation times, approach readily executable model predictive (MPC) framework. The proposed MPC-based embedded Aimsun microsimulation platform, which enables evaluation plethora realistic driving advancement scenarios under different mixes. Results obtained motorway stretch indicate higher efficiency optimally controlled in closer desired speed, compared ordinary manually driven vehicles. Increased penetration rates are found increase overall traffic flow, benefiting manual as well. Moreover, appear more achieving corresponding vehicles, due improved prediction achieved via V2V communication.
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ژورنال
عنوان ژورنال: Transportation Research Part C-emerging Technologies
سال: 2022
ISSN: ['1879-2359', '0968-090X']
DOI: https://doi.org/10.1016/j.trc.2021.103487