Vehicle classification and junction analysis
Measure traffic classes, turns, queues and movement.
Observation periods must represent the intended study question.
Monitoring
Measure how vehicles or groups of people move through a defined area.
Traffic studies produce classified counts, turning movements, trajectories and queues; crowd studies produce density and flow.
Aggregate analysis is the default; personal identification is not required for ordinary count/flow outputs.
Occlusion, sampling window and classifier validation materially affect automated counts.
Measure traffic classes, turns, queues and movement.
Observation periods must represent the intended study question.
Observe congestion and movement through authorised event areas.
Aggregate counts and flows are delivered; individuals are not identified.
Review operational traffic on a controlled site.
Worker/public privacy and site-access rules remain applicable.
Aggregate counts, trajectories and density are the default outputs. Identifiable-person analysis requires a separate lawful purpose and safeguards.
Occlusion, lighting, camera view and classification errors affect results. Validation and uncertainty should accompany automated outputs.
Only if the study design supports that inference. Observation days and times must be chosen for the actual planning question.
It supports the responsible control team, which retains decisions about crowd control, access and emergency response.
Define count classes, observation windows and decision use before capture.
Provide aggregate flow/density outputs rather than unnecessary identification.
Validate automated counts and state occlusion or sampling limitations.
Observation periods must represent the intended study question.
Aggregate counts and flows are delivered; individuals are not identified.
Worker/public privacy and site-access rules remain applicable.
Ministry of Civil Aviation / Directorate General of Civil Aviation
MeitY / Gazette of India
PIB / MoCA
Your project
Traffic & crowd analysis
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