Overview
The Entries Statistics page provides comprehensive analytics on facility usage patterns, helping you understand traffic flow, identify busy periods, and optimize operations. Access this page from Statistics → Entries in the main navigation.
Key Features:
- Real-Time Metrics: Track total and daily entrances with live updates
- Hourly Patterns: Visualize entrance distribution throughout the day
- Peak Hour Analysis: Identify busiest times for resource allocation
- Recent Activity: Monitor latest entries with complete details
- Time Filtering: Compare data across 24h, 7d, 1m, 6m, 4y periods
- Duration Tracking: Analyze parking session lengths
Dashboard Metrics
The top section displays key performance indicators that provide at-a-glance insights into facility usage.
Total Entrances
Description: Cumulative count of all recorded entries for the selected time period
Icon: Blue entry symbol
Updates: Real-time with each new entrance
- Includes all device types (entrances, exits, gates)
- Filters based on selected timeframe (24h, 7d, etc.)
- Counts both completed and in-progress sessions
- Useful for capacity planning and trend analysis
Today's Entrances
Description: Number of entries recorded since midnight (00:00)
Icon: Green calendar symbol
Resets: Daily at midnight
- Always shows current day regardless of filter selection
- Compare against historical averages
- Monitor day-over-day growth
- Quick indicator of daily traffic volume
Peak Hour
Description: Hour with highest entrance volume in selected period
Icon: Yellow clock symbol
Format: HH:MM AM/PM (e.g., "8:00 AM")
- Calculated from hourly entrance chart data
- Updates when time filter changes
- Shows "0:00 AM" if no entries recorded
- Critical for staffing and maintenance scheduling
Hourly Entrances Chart
The line chart displays entrance volume distribution across 24-hour periods, revealing daily traffic patterns and helping identify busy and quiet periods.
Chart Features
- X-Axis: 24 hours from 00:00 to 23:00 in hourly increments
- Y-Axis: Number of entrances (automatically scaled)
- Data Points: Blue circles marking each hour's count
- Trend Line: Smooth curve connecting hourly values
- Grid: Light gray reference lines for easier reading
Reading the Chart
The chart helps you identify:
- Morning Rush: Typically peaks between 7:00-9:00 AM
- Lunch Period: Often shows activity around 11:00-13:00
- Evening Departure: Usually peaks at 16:00-18:00
- Quiet Hours: Minimal activity from 22:00-06:00
- Weekend Patterns: Different profiles with more distributed traffic
Time Period Aggregation
When viewing longer periods, hourly data is aggregated:
| Period | Aggregation Method |
|---|---|
| 24 Hours | Actual hourly counts for today |
| 7 Days | Average per hour across 7 days |
| 1 Month | Average per hour across 30 days |
| 6 Months / 4 Years | Average hourly pattern across period |
Peak Hours Analysis
The Peak Hours chart provides a 24-hour visualization highlighting the busiest time of day for your facility, enabling better resource planning and operational efficiency.
Chart Characteristics
- Layout: All 24 hours displayed (0:00 through 23:00)
- Peak Indicator: Single blue dot at the hour with highest traffic
- Baseline: Zero line showing hours with no activity
- Time Format: Hour:00 notation (e.g., 8:00, 14:00, 19:00)
- Visual Focus: Emphasizes the busiest hour for quick identification
Using Peak Hour Data
Peak hour information is valuable for:
- Staff Scheduling: Ensure adequate personnel during busy hours
- Maintenance Windows: Schedule equipment maintenance during quiet periods
- Dynamic Pricing: Adjust rates based on demand patterns
- Capacity Planning: Evaluate if facility size meets demand
- Queue Management: Deploy additional resources at peak times
Common Peak Hour Patterns
| Facility Type | Typical Peak Hours |
|---|---|
| Office Building | 8:00-9:00 AM (arrival) |
| Shopping Mall | 13:00-15:00 (lunch/afternoon) |
| Airport | 6:00-8:00 AM, 16:00-18:00 PM |
| Event Venue | Varies by event start time |
| Hospital | 9:00-11:00 AM (visiting hours) |
Recent Entries Table
The Recent Entries table displays the latest entry/exit transactions with complete details, allowing you to monitor real-time activity and investigate specific sessions.
Table Columns
- ID: Unique entry identifier for tracking and reference
- Client: Customer name or identifier (if available)
- User: System user associated with entry (if applicable)
- Device: Device name that recorded the entry (e.g., "Entrance", "Exit A")
- Entry Time: Timestamp when vehicle entered (YYYY-MM-DD HH:mm:ss+00)
- Exit Time: Timestamp when vehicle exited (blank if still inside)
- Duration: Parking session length (e.g., "1 minutes", "3 hours")
Understanding Duration
The Duration column shows:
- Completed Sessions: Time between entry and exit (e.g., "45 minutes")
- In-Progress: Empty/blank field indicates vehicle still in facility
- Format: "X minutes" or "X hours" based on session length
- Calculation: Automatically computed from entry/exit timestamps
Table Features
- Auto-Refresh: Table updates automatically with new entries
- Sorting: Click column headers to sort by that field
- Default Order: Most recent entries appear at top (ID descending)
- Row Limit: Displays latest 10-20 entries for performance
- Timezone: All timestamps in facility's configured timezone
Time Period Filtering
The time filter buttons in the top-right corner allow you to analyze entry patterns across different timeframes, from real-time data to multi-year trends.
Available Time Periods
| Period | Button Label | Best Use |
|---|---|---|
| 24 Hours | 24h | Real-time monitoring, today's performance |
| 7 Days | 7d | Weekly trends, day-over-day comparison |
| 1 Month | 1m | Monthly patterns, seasonal changes |
| 6 Months | 6m | Semi-annual review, trend analysis |
| 4 Years | 4y | Long-term trends, capacity planning |
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 Entrances metric recalculates for selected period
- ✓ Hourly Entrances chart redraws with new data
- ✓ Peak Hour indicator updates to busiest hour in period
- ✓ Recent Entries table filters to show only entries in timeframe
- ✗ Today's Entrances always shows current day (not affected)
Usage Insights & Analysis
Leverage entry statistics to gain actionable insights and optimize your parking facility operations.
Capacity Utilization
Use entry data to understand capacity usage:
- Peak Capacity: Compare max hourly entries vs total capacity
- Underutilized Hours: Identify low-traffic periods for promotions
- Overfull Indicators: Hours exceeding 90% capacity need attention
- Seasonal Trends: Compare month-over-month for growth planning
Operational Optimization
- Staff Scheduling: Align personnel with peak/off-peak patterns
- Maintenance Windows: Schedule during consistent low-traffic hours
- Equipment Needs: High entry counts may require additional lanes
- Queue Prevention: Pre-position staff before predictable surges
- Cleaning Schedules: Optimize for lowest disruption periods
Business Intelligence
- Revenue Forecasting: Entry volume correlates with parking revenue
- Marketing Impact: Track entry increases after promotional campaigns
- Event Planning: Analyze entry spikes during events for future prep
- Competitor Analysis: Compare your patterns to industry benchmarks
- Growth Metrics: Month-over-month and year-over-year comparisons
Best Practices
Follow these recommendations to maximize the value of entry statistics for facility optimization and decision-making.
Regular Monitoring
- ✅ Check 24h view daily to monitor real-time operations
- ✅ Review 7d view weekly to identify emerging patterns
- ✅ Analyze 1m view monthly for trend reporting
- ✅ Set alerts for unusual entry spikes or drops
- ✅ Document notable events that impact entry patterns
Data-Driven Decisions
- ✅ Base staffing levels on historical peak hour data
- ✅ Schedule maintenance during proven low-traffic periods
- ✅ Adjust pricing based on demand patterns
- ✅ Plan capacity expansions using growth trends
- ✅ Time marketing campaigns to boost off-peak usage
Reporting & Documentation
- ✅ Take screenshots of charts for monthly reports
- ✅ Export recent entries data for detailed analysis
- ✅ Compare year-over-year using 4y view
- ✅ Document seasonal patterns for future reference
- ✅ Share peak hour info with operations team
System Optimization
- ✅ Verify all entry devices are recording properly
- ✅ Ensure timezone settings match facility location
- ✅ Configure device names clearly for table readability
- ✅ Test entry recording regularly to maintain data accuracy
- ✅ Archive historical data for long-term trend analysis
Ready to optimize your facility operations?
Use entry statistics to make data-driven decisions and improve customer experience.
