Manual Traffic Survey Analysis
Manual Traffic Survey Analysis remains a reliable, flexible, and cost-effective way to gather traffic data, especially in situations where automated systems fall short. With the right planning, trained personnel, and structured formats, these surveys can provide powerful insights for traffic planning, engineering, and safety improvements.


What is Manual Traffic Survey Analysis?
A manual traffic survey is a traditional method of collecting traffic data by physically observing and recording vehicle or pedestrian movements at a location. Trained personnel count vehicles, classify them by type, and note their direction and time of passage using tally sheets or handheld devices.
Manual surveys are widely used for short-duration studies where human judgment and flexibility are important. This method is especially effective in scenarios where automated systems may fall short, such as during construction activities, in rural areas, or when analyzing non-motorized traffic like bicycles and pedestrians
Why Manual Surveys Still Matter
Despite advances in video and sensor-based traffic counting systems, manual surveys continue to be reliable and cost-effective, especially in:
Low-volume roads or rural areas
Temporary roadworks or construction zones
Complex intersections with mixed traffic
Surveys requiring human behavior insights (like jaywalking, unsafe turning, etc.)
Manual observations are often the most accurate for real-time and unpredictable situations.
Where and When Are Manual Traffic Surveys Used?
Manual surveys are typically used at:
Intersections and roundabouts
Mid-block sections
Entry and exit points (malls, campuses, stations)
Parking lots or curbside zones
Event sites or school zones
The surveys are usually done during:
Peak and off-peak hours
Weekdays vs weekends
Before and after project implementation
What Data is Collected in Manual Traffic Surveys?
Vehicle counts by type (car, two-wheeler, bus, truck, etc.)
Turning movements at intersections (left, right, straight)
Time intervals (typically 15-min or hourly blocks)
Pedestrian or cyclist movements
Queue lengths and waiting times
Violations or unusual behavior (optional)
Pro Tip: Accurate survey data is key to better planning. Explore professional traffic and household data collection services at Traffic Data Count.
Types of Manual Traffic Surveys
Survey Type | Purpose |
Turning Movement Count (TMC) | Records turning behavior at intersections |
Classified Volume Count (CVC) | Counts and classifies vehicles over a time period |
Pedestrian Count | Observes foot traffic flow across road crossings |
Gap Acceptance Survey | Notes driver behavior in merging/giving way situations |
Parking Occupancy Survey | Monitors parking space usage |
How Manual Traffic Surveys Are Conducted
1. Planning
Site inspection, camera angles (if using), and personnel count
Time schedule and data sheet format finalized
2. Data Collection
Enumerators stand at assigned locations
Count and classify vehicles in real time
Use tally sheets, clickers, or mobile apps
3. Data Compilation
Tally data entered into spreadsheets
Peak hour analysis and charts created
Trends and issues identified
Applications of Manual Traffic Survey Analysis
Intersection design and improvements
Signal timing optimization
Road safety audits
Urban transport planning
Public transport scheduling
Parking and curbside management
Benefits of Manual Traffic Survey Analysis
High Accuracy in Complex Conditions
Human observers can distinguish between vehicle types, interpret driver behavior, and record irregular patterns more accurately than machines.
Flexible & Cost-Effective
Ideal for short-term studies or areas with low to medium traffic volumes.
Supports Comprehensive Traffic Data Analysis
Complements automated methods to build a complete picture of road usage.
Informed Decision-Making
Provides clear, reliable data to help planners and policymakers make better, evidence-based choices.
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Claire Dubois
Germany
“We collaborated with this team for a detailed intersection analysis project in Munich. The turning movement count data was precise, well-documented, and delivered on time.”
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