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Li et al., 2020 - Google Patents

A spatio-temporal structured LSTM model for short-term prediction of origin-destination matrix in rail transit with multisource data

Li et al., 2020

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Document ID
16477546226227706392
Author
Li D
Cao J
Li R
Wu L
Publication year
Publication venue
IEEE Access

External Links

Snippet

Passenger assignment of rail transit has recently attracted increasing research interest due to its potential applications in large-scale intelligent transportation systems. In the rail transit system, the foundation of passenger assignment is passengers' origin and destination …
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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