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Saha et al., 2020 - Google Patents

Deep learning approach for predictive analytics to support diversion during freeway incidents

Saha et al., 2020

Document ID
12367614534599942770
Author
Saha R
Tariq M
Hadi M
Publication year
Publication venue
Transportation research record

External Links

Snippet

Route diversion during incidents on freeways has been proven to be a useful tactic to mitigate non-recurrent congestion. However, the capacity constraints created by the signals on the alternative routes put limits on the diversion process since the typical time-of-day …
Continue reading at journals.sagepub.com (other versions)

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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
    • G06Q10/063—Operations research or analysis
    • G06Q10/0639—Performance analysis
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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    • G06Q10/00—Administration; Management
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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