Analyzing speeding events is one of the most fundamental and impactful ways TelemaData (or any robust telematics platform) can help fleets improve safety, reduce costs, and enhance their reputation, especially given the road safety challenges in Bangladesh. Speeding is a major contributor to accidents, higher fuel consumption, and increased vehicle wear and tear.
Here's how TelemaData allows you to effectively analyze speeding events:
I. How TelemaData Detects Speeding Events
TelemaData typically uses multiple methods to accurately identify speeding:
GPS Speed vs. Configured Speed Limit:
Simple Speed Threshold: You can set a maximum speed limit (e.g., 80 km/h for iran whatsapp data highways, 40 km/h for urban areas like Bogra city). If a vehicle's GPS-derived speed exceeds this threshold for a certain duration (e.g., 5 seconds), it's flagged as a speeding event.
Road Segment Speed Limits (Posted Speed Limits): More advanced TelemaData platforms integrate with detailed mapping data (like HERE, Google Maps data, etc.) that contains posted speed limits for specific road segments. The system compares the vehicle's real-time GPS speed against the actual speed limit of the road it's currently on. This is the most accurate method as it accounts for varying limits on different roads (e.g., national highways vs. local roads in a town like Bogra).
Engine Speed (RPM) vs. Configured Threshold: While less common for direct "speeding" events, some systems monitor excessive engine RPMs in relation to vehicle speed, which can indicate aggressive driving or an engine being pushed beyond safe limits,
Analyzing Speeding Events with TelemaData
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