Lucknow Police Deploys Route Marshals on 12 Congested Stretches to Ease Traffic
Lucknow Deploys Route Marshals on 12 Congested Stretches

Lucknow Police Implements Dedicated Route Marshal System to Combat Traffic Congestion

In a significant move to address chronic traffic snarls, the Lucknow Police deployed dedicated route marshals on Wednesday across the city's 12 most congested stretches. This initiative aims to ensure smoother vehicular movement during peak hours by implementing a targeted, data-driven approach to urban traffic management.

Targeting High-Density Corridors with Severe Congestion Issues

The program focuses on 12 high-density corridors where travel time frequently escalates to nearly five times the normal duration during rush hours. Police officials identified these specific stretches through comprehensive data analysis that revealed severe congestion despite relatively short distances. The deployment represents a strategic effort to tackle the most problematic areas first.

'One Route, One Marshal' Principle for Enhanced Accountability

Under the innovative "One Route, One Marshal" framework, each designated corridor receives a dedicated traffic marshal drawn from the police department's traffic division. These personnel assume comprehensive responsibility for their assigned stretches, performing critical functions including:

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  • On-ground traffic regulation and management
  • Immediate response to developing traffic jams
  • Coordination with multiple agencies to address bottlenecks
  • Escalation of engineering flaws to Deputy Commissioner of Police (Traffic)
  • Reporting encroachment or parking issues involving schools, colleges, or offices to local Station House Officers for resolution

Technology Integration and Real-Time Monitoring Systems

The project, launched at the initiative of Director General of Police Rajeev Krishna, incorporates advanced technological solutions to modernize urban traffic management. Authorities are implementing real-time monitoring using Google's live traffic tracking system, enabling rapid identification and response to congestion points as they develop.

Additional Superintendent of Police (Traffic) Satish Ganesh revealed that a specialized US-based application has been developed specifically for this initiative. "The application will systematically record daily data and calculate minimum, maximum, and average travel times across all 12 designated stretches. Supervisory officers can monitor this information in real time through their devices," Ganesh explained.

AI-Powered Analytics and Performance Tracking

The system employs sophisticated artificial intelligence-based analytics to generate graphical and tabular outputs, map congestion points live, and provide historical comparisons spanning weeks and months. Officers can access this comprehensive system through standard smartphones without requiring specialized technical expertise, making the technology highly accessible for field personnel.

Comprehensive 5E Strategy for Holistic Traffic Management

The initiative operates under a comprehensive "5E strategy" framework encompassing five critical elements:

  1. Education and Awareness programs for commuters
  2. Enforcement of traffic regulations
  3. Engineering and Technological Intervention solutions
  4. Encroachment Removal operations
  5. Regulation of e-rickshaw operations to improve traffic flow

Performance Targets and Statewide Expansion

Officials have established an initial target of reducing maximum travel time by 20% during peak hours across the designated corridors. Monthly performance reviews will be conducted at police headquarters, where the Director General of Police will personally assess outcomes and direct further improvements based on data analysis.

The program represents a significant expansion of data-driven traffic management, with simultaneous rollout occurring across 20 Uttar Pradesh districts covering 172 identified routes. This statewide implementation marks a substantial advancement toward accountable, evidence-based traffic policing that prioritizes commuter experience and urban mobility efficiency.

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