Search: WFRF:(Kulcsár Balázs Adam 1975)
> (2020-2024) >
Pro-social control ...
Pro-social control of connected automated vehicles in mixed-autonomy multi-lane highway traffic
-
- Larsson, Jacob (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
- Keskin, Furkan, 1988 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
- Peng, Bile, 1985 (author)
- Technische Universität Braunschweig
-
show more...
-
- Kulcsár, Balázs Adam, 1975 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
- Wymeersch, Henk, 1976 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
show less...
-
(creator_code:org_t)
- Elsevier BV, 2021
- 2021
- English.
-
In: Communications in Transportation Research. - : Elsevier BV. - 2772-4247. ; 1:December
- Related links:
-
https://research.cha... (primary) (free)
-
show more...
-
https://doi.org/10.1...
-
https://doi.org/10.1...
-
https://research.cha...
-
show less...
Abstract
Subject headings
Close
- We propose pro-social control strategies for connected automated vehicles (CAVs) to mitigate jamming waves in mixed-autonomy multi-lane traffic, resulting from car-following dynamics of human-driven vehicles (HDVs). Different from existing studies, which focus mostly on ego vehicle objectives to control CAVs in an individualistic manner, we devise a pro-social control algorithm. The latter takes into account the objectives (i.e., driving comfort and traffic ef ficiency) of both the ego vehicle and surrounding HDVs to improve smoothness of the entire observable traffic. Under a model predictive control (MPC) framework that uses acceleration and lane change sequences of CAVs as optimization variables, the problem of individualistic, altruistic, and pro-social control is formulated as a non-convex mixed-integer nonlinear program (MINLP) and relaxed to a convex quadratic program through converting the piece-wise-linear constraints due to the optimal velocity with relative velocity (OVRV) car-following model into linear constraints by introducing slack variables. Low-fidelity simulations using the OVRV model and high-fidelity simulations using PTV VISSIM simulator show that pro-social and altruistic control can provide significant performance gains over individualistic driving in terms of efficiency and comfort on both single- and multi-lane roads.
Subject headings
- SAMHÄLLSVETENSKAP -- Sociologi -- Socialpsykologi (hsv//swe)
- SOCIAL SCIENCES -- Sociology -- Social Psychology (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- traffic control
- highway
- model predictive control
- connected vehicle
- automated vehicle
- altruism
- pro-social
Publication and Content Type
- art (subject category)
- ref (subject category)
Find in a library
To the university's database