Overview
The Exits Statistics page provides detailed analytics on facility departure patterns, helping you understand traffic outflow, identify busy exit periods, and optimize departure operations. Access this page from Statistics → Exits in the main navigation.
Key Features:
- Real-Time Metrics: Track total and daily exits with live updates
- Hourly Patterns: Visualize exit distribution throughout the day
- Peak Hour Analysis: Identify busiest departure times for staffing
- Recent Activity: Monitor latest exits with complete session details
- Time Filtering: Compare data across 24h, 7d, 1m, 6m, 4y periods
- Session Duration: Analyze complete parking session lengths from entry to exit
Dashboard Metrics
The top section displays key performance indicators that provide at-a-glance insights into facility departure patterns and exit operations.
Total Exits
Description: Cumulative count of all recorded exits for the selected time period
Icon: Green exit symbol
Updates: Real-time with each vehicle departure
- Includes all exit device types (exits, gates, barriers)
- Filters based on selected timeframe (24h, 7d, etc.)
- Counts only completed parking sessions with exit timestamp
- Essential for revenue calculation and turnover analysis
Today's Exits
Description: Number of exits recorded since midnight (00:00)
Icon: Blue calendar symbol
Resets: Daily at midnight
- Always shows current day regardless of filter selection
- Compare against entry count to monitor facility occupancy
- Track daily completion rate and session turnover
- Quick indicator of daily departure volume
Peak Hour
Description: Hour with highest exit volume in selected period
Icon: Yellow clock symbol
Format: HH:MM AM/PM (e.g., "17:00 PM")
- Calculated from hourly exit chart data
- Updates when time filter changes
- Shows "0:00 AM" if no exits recorded
- Critical for payment system and barrier capacity planning
Hourly Exits Chart
The line chart displays exit volume distribution across 24-hour periods, revealing daily departure patterns and helping identify busy checkout times and quiet periods.
Chart Features
- X-Axis: 24 hours from 00:00 to 23:00 in hourly increments
- Y-Axis: Number of exits (automatically scaled)
- Data Points: Blue circles marking each hour's exit count
- Trend Line: Smooth curve connecting hourly values
- Grid: Light gray reference lines for easier reading
Reading the Chart
The chart helps you identify:
- Early Morning Departures: Overnight parkers leaving around 6:00-8:00 AM
- Mid-Day Exits: Short-term visitors departing 11:00-14:00
- Evening Rush: Typically peaks at 16:00-19:00 for office/commuter lots
- Late Night: Event-based departures or overnight facility exits
- Weekend Patterns: More distributed exits with less pronounced peaks
Time Period Aggregation
When viewing longer periods, hourly data is aggregated:
| Period | Display Method |
|---|---|
| 24 Hours | Actual hourly exit counts for today |
| 7 Days | Average exits per hour across 7 days |
| 1 Month | Average exits per hour across 30 days |
| 6 Months / 4 Years | Average hourly exit pattern across period |
Peak Hours Analysis
The Peak Hours chart provides a 24-hour visualization highlighting the busiest departure time for your facility, enabling better resource planning and exit operation efficiency.
Chart Characteristics
- Layout: All 24 hours displayed (0:00 through 23:00)
- Peak Indicator: Single blue dot at the hour with highest exit volume
- Baseline: Zero line showing hours with no departures
- Time Format: Hour:00 notation (e.g., 17:00, 18:00, 19:00)
- Visual Focus: Emphasizes the busiest exit hour for quick identification
Using Peak Exit Hour Data
Peak exit hour information is valuable for:
- Payment Processing: Ensure all payment kiosks operational and staffed
- Barrier Management: Configure barriers for maximum throughput
- Queue Control: Deploy staff to assist with payments during peaks
- Maintenance Avoidance: Never schedule exit lane maintenance during peak times
- Revenue Collection: Align cash collection with high-volume periods
Common Peak Exit Patterns
| Facility Type | Typical Peak Exit Hours |
|---|---|
| Office Building | 17:00-19:00 (evening departure) |
| Shopping Mall | 20:00-21:00 (closing time) |
| Airport | Multiple peaks matching flight arrivals |
| Event Venue | Immediately after event conclusion |
| Hospital | 14:00-16:00, 20:00-21:00 (visiting end) |
Recent Exits Table
The Recent Exits table displays the latest completed parking sessions with full details from entry to exit, allowing you to monitor real-time departure activity and analyze session durations.
Table Columns
- ID: Unique session identifier for tracking and reference
- Client: Customer name or identifier (if available)
- User: System user associated with session (if applicable)
- Device: Exit device name that recorded departure (e.g., "Entrance", "Exit A")
- Entry Time: Timestamp when vehicle entered facility (YYYY-MM-DD HH:mm:ss+00)
- Exit Time: Timestamp when vehicle departed facility (YYYY-MM-DD HH:mm:ss+00)
- Duration: Complete parking session length (e.g., "1 minutes", "3 hours")
Understanding Session Duration
The Duration column provides valuable insights:
- Short Duration (< 1 hour): Quick stops, errands, pickups/dropoffs
- Medium Duration (1-4 hours): Shopping, appointments, short business visits
- Long Duration (4-8 hours): Work day parking, all-day shopping
- Extended Duration (> 8 hours): Overnight, multi-day, or residential parking
- Format: Displayed as "X minutes" or "X hours" for readability
Table Features
- Auto-Refresh: Table updates automatically as exits occur
- Sorting: Click column headers to sort by that field
- Default Order: Most recent exits appear at top (ID descending)
- Row Limit: Displays latest 10-20 completed sessions
- Timezone: All timestamps in facility's configured timezone
- Export: Download data for detailed analysis and reporting
Time Period Filtering
The time filter buttons in the top-right corner allow you to analyze exit patterns across different timeframes, from real-time data to multi-year trends.
Available Time Periods
| Period | Label | Best Used For |
|---|---|---|
| 24 Hours | 24h | Real-time monitoring, today's departure performance |
| 7 Days | 7d | Weekly exit trends, day-over-day comparison |
| 1 Month | 1m | Monthly departure patterns, turnover analysis |
| 6 Months | 6m | Semi-annual review, seasonal patterns |
| 4 Years | 4y | Long-term trends, historical comparison |
Custom Date Ranges
For specific analysis needs, you can set custom date ranges:
- Custom Button: Click "Custom" to open date picker
- Start Date: Select beginning of analysis period
- End Date: Select end of analysis period
- Max Range: System may limit range for performance (typically 1 year)
- Apply: Charts and metrics update immediately
Filter Effects
When you change the time filter:
- ✓ Total Exits metric recalculates for selected period
- ✓ Hourly Exits chart redraws with new data
- ✓ Peak Hour indicator updates to busiest exit hour in period
- ✓ Recent Exits table filters to show only sessions completed in timeframe
- ✗ Today's Exits always shows current day (not affected)
Usage Insights & Analysis
Leverage exit statistics to gain actionable insights and optimize your parking facility's departure operations and overall performance.
Turnover Analysis
Use exit data to understand facility turnover:
- Daily Turnover: Total exits ÷ capacity = facility efficiency
- Session Duration: Average time between entry and exit
- Peak vs Off-Peak: Compare exit volumes across time periods
- Balance Check: Exits should roughly equal entries over time
Operational Optimization
- Exit Lane Capacity: Peak hour exits determine required lanes
- Payment Processing: High exit volumes need fast payment systems
- Barrier Timing: Optimize gate open/close speeds for throughput
- Staff Allocation: Position attendants at peak exit times
- Queue Prevention: Monitor exit queues and add capacity if needed
Revenue & Business Intelligence
- Revenue Timing: Exit volume correlates directly with payment collection
- Pricing Impact: Monitor if rate changes affect exit patterns
- Duration Pricing: Analyze if duration-based rates work effectively
- Payment Methods: Track payment completion rates at exits
- Customer Satisfaction: Long exit queues = poor customer experience
Best Practices
Follow these recommendations to maximize the value of exit statistics for facility optimization and superior customer departure experience.
Regular Monitoring
- ✅ Check 24h view daily to monitor real-time exit operations
- ✅ Review 7d view weekly to identify exit pattern changes
- ✅ Analyze 1m view monthly for turnover rate reporting
- ✅ Compare entry vs exit counts to verify data accuracy
- ✅ Set alerts for unusual exit volume drops or spikes
Exit Operation Excellence
- ✅ Ensure all payment systems operational before peak exit hour
- ✅ Test barriers and gates daily to prevent exit delays
- ✅ Position staff at exits 30 minutes before peak time
- ✅ Implement express lanes for pre-paid or fast-pass vehicles
- ✅ Monitor exit queue lengths and deploy assistance promptly
Data Quality & Accuracy
- ✅ Verify all exit devices are recording properly
- ✅ Check that entry and exit counts balance over time
- ✅ Investigate significant discrepancies between entries/exits
- ✅ Ensure device names clearly identify exit locations
- ✅ Regular maintenance prevents data recording failures
Customer Experience
- ✅ Minimize exit wait times, especially during peak hours
- ✅ Provide clear signage directing to payment and exits
- ✅ Offer multiple payment options (cash, card, mobile)
- ✅ Display pricing and payment instructions clearly
- ✅ Train staff to assist with payment and exit issues quickly
Ready to analyze departure patterns?
Use exit statistics alongside entry data for complete facility turnover analysis and optimization.
