Acceleration (Deceleration) model supporting time delays to refresh data
This paper proposes a mathematical model to regulate the acceleration (deceleration) applied by self-driving vehicles in car-following situations. A virtual environment is designed to test the model in different circumstances: (1) the followers decelerate in time if the leader decelerates, considering a time delay of up to 5 s to refresh data (vehicles position coordinates) required by the model, (2) with the intention of optimizing space, the vehicles are grouped in platoons, where 3 s of time delay (to update data) is supported if the vehicles have a centre-to-centre spacing of 20 m and a time delay of 1 s is supported at a spacing of 6 m (considering a maximum speed of 20 m/s in both cases), and (3) an algorithm is presented to manage the vehicles’ priority at a traffic intersection, where the model regulates the vehicles’ acceleration (deceleration) and a balance in the number of vehicles passing from each side is achieved.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03535320
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Supplemental Notes:
- © 2018 José Gerardo Carrillo González et al.
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Authors:
- Carrillo-González, José Gerardo
- Arámburo-Lizárraga, Jesús
- Barbosa-Santillán, Liliana Ibeth
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 141-149
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Serial:
- PROMET-Traffic & Transportation
- Volume: 30
- Issue Number: 2
- Publisher: University of Zagreb
- ISSN: 0353-5320
- EISSN: 1848-4069
- Serial URL: https://traffic2.fpz.hr/index.php/PROMTT
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Acceleration (Mechanics); Algorithms; Autonomous vehicles; Car following; Deceleration; Delays; Intersections; Mathematical models; Simulation; Traffic platooning
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01705102
- Record Type: Publication
- Files: TRIS
- Created Date: May 21 2019 11:06AM