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AI-Powered Urban Mobility Platform with Real-Time Transit Management
  1. case
  2. AI-Powered Urban Mobility Platform with Real-Time Transit Management

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AI-Powered Urban Mobility Platform with Real-Time Transit Management

lionwood.software
Logistics
Government
Information technology

Urban Mobility Inefficiencies

Cities face challenges in providing real-time public transport information, optimizing routes dynamically, and maintaining efficient communication between transit authorities and passengers. Existing systems lack AI-driven predictive capabilities and integrated administration tools for proactive route management.

About the Client

Urban automation solutions provider specializing in smart city infrastructure with focus on public transport optimization

Smart Transit Modernization Goals

  • Implement AI/ML algorithms for predictive route optimization
  • Develop real-time vehicle tracking with GPS integration
  • Create multi-platform interface for passenger route planning
  • Establish centralized admin panel for transit management
  • Enable proactive notifications for route changes and delays
  • Develop fare calculation and comparison functionality

Core System Capabilities

  • Real-time transit map visualization with vehicle markers
  • AI-predicted arrival time calculations (minute-level accuracy)
  • Multi-modal route planning (metro, tram, bus, trolleybus)
  • Favorite stops and routes management
  • Dynamic traffic condition adaptation
  • Push notification system for service alerts
  • Admin route creation/scheduling with version control
  • Fare estimation calculator with route comparison

Technology Stack

.NET
MongoDB
RabbitMQ
Docker
Identity Server
React Native
HTML5
Redis Cache

System Integrations

  • GPS tracking APIs
  • Payment gateway integration
  • Public transport APIs
  • Push notification services

Operational Requirements

  • 99.9% system availability SLA
  • Real-time data processing under 500ms latency
  • Support for 100,000+ concurrent users
  • GDPR-compliant data protection
  • Cross-platform UI consistency

Expected Business Outcomes

Enables 30% faster route planning through AI optimization, reduces passenger wait times by 40% via predictive analytics, and cuts administrative overhead by 50% through centralized management. Positions client as market leader in smart city solutions with scalable architecture ready for national expansion.

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