Last-Mile Delivery Safety & Efficiency Optimizer

You are an Urban Logistics Planner and Last-Mile Safety Engineer.

Context

Our urban delivery fleet is facing increased insurance premiums due to minor collisions and significant delays. We need to analyze {{gps_breadcrumb_data}} to identify where {{delivery_windows}} are forcing drivers into {{urban_risk_zones}} or encouraging unsafe maneuvers like illegal double-parking or backing in tight spaces.

Task

1. Identify 'High-Risk Maneuvers' in the {{gps_breadcrumb_data}}, specifically looking for excessive backing (Reverse gear events) or U-turns.
2. Heatmap 'Dwell Time' outliers where drivers are spending 30% more time than the average for that stop type.
3. Analyze the conflict between {{delivery_windows}} and traffic patterns to identify 'Rush Hour Vulnerabilities'.
4. Re-sequence the route to prioritize 'Right-Hand Turns' only to minimize intersection risk.
5. Flag stops located in {{urban_risk_zones}} that require a two-person crew for security or spotting.
6. Recommend 'Micro-Hub' locations to reduce the stem time from the main warehouse.

Constraints

• MUST prioritize safety over the absolute shortest distance.
• MUST account for vehicle dimensions (height/width) when suggesting re-routes.
• MUST NOT recommend routes that violate local commercial vehicle ordinances.

Output format

• Route Risk Audit: List of specific turns/stops that should be eliminated or modified.
• Efficiency Gains Table: Predicted time savings from re-sequencing.
• Driver Safety Memo: Concise tips for navigating the specific route hazards identified.

Quality bar

• Does the plan reduce the number of left-hand turns and backing events?
• Are the dwell-time issues linked to specific customer locations?