Systems and methods for managing dynamic transportation networks using simulated future scenarios

    公开(公告)号:US10769558B2

    公开(公告)日:2020-09-08

    申请号:US16027250

    申请日:2018-07-03

    Applicant: Lyft, Inc.

    Inventor: Chinmoy Dutta

    Abstract: The disclosed computer-implemented method may include (i) receiving a first transport request and a second transport request, (ii) evaluating a fitness of matching the first and second transport requests to be fulfilled by a transport provider, based at least partly on a transportation overlap between the first and second transport requests, (iii) generating a simulated future transport request, (iv) evaluating a fitness of matching the first transport request with the simulated future transport request, based at least in part on a transportation overlap between the first transport request and the simulated future transport request, and (v) matching the first and second transport requests based at least in part on the fitness of matching the first and second transport requests and based at least in part on the fitness of matching the first transport request with the simulated future transport request. Various other methods, systems, and computer-readable media are disclosed.

    SYSTEMS AND METHODS FOR MANAGING DYNAMIC TRANSPORTATION NETWORKS USING SIMULATED FUTURE SCENARIOS

    公开(公告)号:US20200012974A1

    公开(公告)日:2020-01-09

    申请号:US16027250

    申请日:2018-07-03

    Applicant: Lyft, Inc.

    Inventor: Chinmoy Dutta

    Abstract: The disclosed computer-implemented method may include (i) receiving a first transport request and a second transport request, (ii) evaluating a fitness of matching the first and second transport requests to be fulfilled by a transport provider, based at least partly on a transportation overlap between the first and second transport requests, (iii) generating a simulated future transport request, (iv) evaluating a fitness of matching the first transport request with the simulated future transport request, based at least in part on a transportation overlap between the first transport request and the simulated future transport request, and (v) matching the first and second transport requests based at least in part on the fitness of matching the first and second transport requests and based at least in part on the fitness of matching the first transport request with the simulated future transport request. Various other methods, systems, and computer-readable media are disclosed.

    Systems and methods for managing dynamic transportation networks using simulated future scenarios

    公开(公告)号:US11790289B2

    公开(公告)日:2023-10-17

    申请号:US17580994

    申请日:2022-01-21

    Applicant: Lyft, Inc.

    Inventor: Chinmoy Dutta

    CPC classification number: G06Q10/047 G01C21/3438 G06Q10/067

    Abstract: The disclosed computer-implemented method may include (i) receiving a first transport request and a second transport request, (ii) evaluating a fitness of matching the first and second transport requests to be fulfilled by a transport provider, based at least partly on a transportation overlap between the first and second transport requests, (iii) generating a simulated future transport request, (iv) evaluating a fitness of matching the first transport request with the simulated future transport request, based at least in part on a transportation overlap between the first transport request and the simulated future transport request, and (v) matching the first and second transport requests based at least in part on the fitness of matching the first and second transport requests and based at least in part on the fitness of matching the first transport request with the simulated future transport request. Various other methods, systems, and computer-readable media are disclosed.

    SYSTEMS AND METHODS FOR MANAGING DYNAMIC TRANSPORTATION NETWORKS USING SIMULATED FUTURE SCENARIOS

    公开(公告)号:US20220188711A1

    公开(公告)日:2022-06-16

    申请号:US17580994

    申请日:2022-01-21

    Applicant: Lyft, Inc.

    Inventor: Chinmoy Dutta

    Abstract: The disclosed computer-implemented method may include (i) receiving a first transport request and a second transport request, (ii) evaluating a fitness of matching the first and second transport requests to be fulfilled by a transport provider, based at least partly on a transportation overlap between the first and second transport requests, (iii) generating a simulated future transport request, (iv) evaluating a fitness of matching the first transport request with the simulated future transport request, based at least in part on a transportation overlap between the first transport request and the simulated future transport request, and (v) matching the first and second transport requests based at least in part on the fitness of matching the first and second transport requests and based at least in part on the fitness of matching the first transport request with the simulated future transport request. Various other methods, systems, and computer-readable media are disclosed.

    Assigning rides based on probability of provider acceptance

    公开(公告)号:US11158020B2

    公开(公告)日:2021-10-26

    申请号:US15859111

    申请日:2017-12-29

    Applicant: Lyft, Inc.

    Abstract: The present disclosure relates assigning ride requests to providers based on the probability that a provider will accept the request. For example, one or more embodiments identify a first provider to assign the ride request. The system then generates a probability of acceptance for that provider. The system then determines an estimated time-to-arrival for the first provider and an alternate estimated time-to-arrival associated with a re-assigned provider. Based on the acceptance probability, the estimated time-to-arrival, and the alternate estimated time-to-arrival, the system then determines an expected time-to-arrival associated with the first provider. The system assigns ride requests to providers based on optimizing the expected time-to-arrival across multiple potential providers for a ride request.

    ASSIGNING RIDES BASED ON PROBABILITY OF PROVIDER ACCEPTANCE

    公开(公告)号:US20190206008A1

    公开(公告)日:2019-07-04

    申请号:US15859111

    申请日:2017-12-29

    Applicant: Lyft, Inc.

    CPC classification number: G06Q50/30 G06N7/005 G06Q10/063112

    Abstract: The present disclosure relates assigning ride requests to providers based on the probability that a provider will accept the request. For example, one or more embodiments identify a first provider to assign the ride request. The system then generates a probability of acceptance for that provider. The system then determines an estimated time-to-arrival for the first provider and an alternate estimated time-to-arrival associated with a re-assigned provider. Based on the acceptance probability, the estimated time-to-arrival, and the alternate estimated time-to-arrival, the system then determines an expected time-to-arrival associated with the first provider. The system assigns ride requests to providers based on optimizing the expected time-to-arrival across multiple potential providers for a ride request.

    Systems and methods for managing dynamic transportation networks using simulated future scenarios

    公开(公告)号:US11263561B2

    公开(公告)日:2022-03-01

    申请号:US16941757

    申请日:2020-07-29

    Applicant: Lyft, Inc.

    Inventor: Chinmoy Dutta

    Abstract: The disclosed computer-implemented method may include (i) receiving a first transport request and a second transport request, (ii) evaluating a fitness of matching the first and second transport requests to be fulfilled by a transport provider, based at least partly on a transportation overlap between the first and second transport requests, (iii) generating a simulated future transport request, (iv) evaluating a fitness of matching the first transport request with the simulated future transport request, based at least in part on a transportation overlap between the first transport request and the simulated future transport request, and (v) matching the first and second transport requests based at least in part on the fitness of matching the first and second transport requests and based at least in part on the fitness of matching the first transport request with the simulated future transport request. Various other methods, systems, and computer-readable media are disclosed.

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