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公开(公告)号:US20240177088A1
公开(公告)日:2024-05-30
申请号:US18058877
申请日:2022-11-28
Applicant: Automotive Research & Testing Center
Inventor: I-Chun KUO , Cheng-Hsien WANG , Tsung-Ming HSU , Ming-Kuan KO
CPC classification number: G06Q10/06314 , G06Q10/02 , G06Q50/30
Abstract: A deciding system for stopping and dispatching vehicles includes a memory and a cloud processing unit. The cloud processing unit is configured to determine one of a fixed vehicle dispatching algorithm and a non-fixed vehicle dispatching algorithm to be executed by the cloud processing unit according to a temporary car-hailing order message; execute the one of the fixed vehicle dispatching algorithm and the non-fixed vehicle dispatching algorithm to generate a stop message corresponding to a stop station according to a dispatch parameter set from the memory, and generate a stop number set corresponding to the first vehicle according to the stop message; and execute the one of the fixed vehicle dispatching algorithm and the non-fixed vehicle dispatching algorithm to generate a dispatch message according to the dispatch parameter set, and generate a dispatch vehicle number set corresponding to the second vehicle according to the dispatch message.
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公开(公告)号:US20200156631A1
公开(公告)日:2020-05-21
申请号:US16232464
申请日:2018-12-26
Applicant: Automotive Research & Testing Center
Inventor: Bo-Han LIN , Tsung-Ming HSU , Zhi-Hao ZHANG , I-Chun KUO
Abstract: A method for planning a trajectory for a self-driving vehicle on a road includes: generating multiple target planned trajectory sets based on information concerning the self-driving vehicle; calculating multiple projected moving ranges and multiple projected moving speeds of an obstacle based on information concerning the obstacle, the projected moving ranges corresponding respectively with multiple time points in a driving time period, the projected moving speeds corresponding respectively with the time points; and selecting one of the target planned trajectory sets as an optimal planned trajectory set based on the target planned trajectory sets, the projected moving ranges and the projected moving speeds for the obstacle.
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