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Transport

Arrêt de bus

Vue d’ensemble

Porté par le développement urbain, le soutien des politiques publiques, l’évolution des besoins et les progrès technologiques, le nombre d’arrêts de bus urbains ne cesse d’augmenter. La solution d’arrêt de bus intelligent de Dahua intègre l’affichage d’informations en temps réel, l’analyse comportementale et la surveillance, l’évaluation de la congestion des flux de passagers, la surveillance de l’environnement ainsi que la connectivité avec les transports multimodaux, afin de créer des points de mobilité intelligents, efficaces, confortables et écologiques.

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Crowded platform

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Abnormal behavior

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Crowded platform

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Abnormal behavior

Crowded platform

Défis

The main reasons for bus stop congestion are concentrated peak passenger flow and uneven bus scheduling. Dahua's smart bus stop solution includes: intelligent scheduling (real-time monitoring of passenger flow and adjustment of departure times), and long-term planning to adjust route layout to improve traffic efficiency and comfort.

The main reasons for bus stop congestion are concentrated peak passenger flow and uneven bus scheduling. Dahua's smart bus stop solution includes: intelligent scheduling (real-time monitoring of passenger flow and adjustment of departure times), and long-term planning to adjust route layout to improve traffic efficiency and comfort.

Ce que nous proposons

Passenger flow statistics

Dahua's smart bus stop solution includes: intelligent scheduling (real-time monitoring of passenger flow and adjustment of departure times), and long-term planning to adjust route layout to improve traffic efficiency and comfort.

Passenger flow statistics

Abnormal behavior

Défis

"The main reasons for vandalism at bus stops include intentional damage, theft for profit, and emotional outbursts. Dahua's solution requires the use of AI monitoring technology for protection, to reduce the risk of vandalism and improve the sustainability of public facilities. "

Ce que nous proposons

Behavior Analysis

Dahua's solution requires the use of AI monitoring technology for protection, to reduce the risk of vandalism and improve the sustainability of public facilities

Behavior Analysis