Analysis of Core Architecture and Application Scenarios of School Bus System

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Author : Kathy
Update time : 2025-05-27 10:25:14

I. Identity Verification and Dynamic Monitoring

  1. Multi-modal Identity Verification

    • Students authenticate boarding/alighting via ‌smart IC cards‌ or ‌facial recognition‌, with dual-mode flexibility for scenarios like peak-hour contactless passage 2][4][7.
    • Verification speed: ‌0.3 seconds per person‌, with real-time photo capture and push notifications to parents (some systems include temperature screening) 4][7.
  2. GPS Real-time Tracking and Route Management

    • Buses equipped with ‌BeiDou + GPS dual-mode positioning‌ modules. Parents and administrators can monitor live vehicle locations, estimated arrival times, and historical routes via WeChat or apps 2][5][8.
    • Geo-fencing‌ triggers alerts for route deviations or speeding, with voice prompts to drivers 4][7.
    •  

II. Parent and Management Features

  1. Parental Monitoring and Alerts

    • Parents receive ‌arrival reminders‌, boarding/alighting photos, and temperature data. Custom geo-fencing notifies them when students enter/exit designated zones 2][
      .
    • Stranded student alerts‌ are sent to parents and drivers if students miss boarding or remain onboard post-trip 5][8.
  2. Data Analytics and Operational Optimization

    • Admin dashboards auto-generate ‌attendance reports‌ (daily ridership, absentees) and operational metrics (punctuality, trip duration) with visualizations 2][6][8.
    • Historical data optimizes routes, adjusts stops, and reduces idle driving via dynamic scheduling .

III. Example System Configuration

python
# School Bus Terminal Integration (Reference: Honghua, Wanshicheng solutions) class SchoolBusSystem: def __init__(self): self.auth_mode = ["IC Card", "Facial Recognition"] # Dual verification $3][4$ self.gps_module = "BeiDou + GPS Dual-mode" # <5m accuracy $6][7$ self.communication = "4G/5G Wireless" # Real-time cloud sync $7$ def parent_notification(self): # Push content: location, photo, temperature, ETA return {"type": "WeChat/APP Push", "content": "encrypted_data"} # AES-256 encryption $4][8$

IV. Performance Outcomes

  • University Case Study‌: "Card + Facial Recognition" reduced peak-hour boarding time by ‌60%‌ and parent wait times by ‌40%‌ 2][6.
  • Safety Improvement‌: Geo-fencing and (stranded alerts) cut regional school bus incidents by ‌92%‌ 4][5.

(Note: Code examples illustrate logic; actual implementation requires hardware and protocol adjustments.)

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