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The lack of passenger flow statistics in public transport operations presents multiple challenges. It becomes difficult to accurately track the real-time passenger flow at each route and station, which can lead to congestion during peak hours and wasted capacity during off-peak hours, negatively affecting the passenger experience. It also makes it challenging to plan operational strategies scientifically, such as route optimization and station adjustments, limiting the overall efficiency of the public transport network.
The Dahua Bus Passenger Flow Function can accurately collect real-time passenger flow data for each route and station, providing a scientific basis for operational scheduling. It can dynamically monitor passenger flow density during peak hours and at key stations, enabling flexible allocation of transport capacity, avoiding peak congestion or off-peak empty runs, and improving the passenger travel experience. Through long-term analysis of passenger flow trends, it also supports decisions such as route optimization and station adjustments, helping the bus network layout better meet actual demand.
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