Research to determine the scalability and efficacy of a Speed Management and Assessment Tool (SMAT) to Low- and Middle-Income Countries (LMICs) utilizing existing and available data for Nepal, Fiji, and Ghana
Introduction
TRL is the UK Centre of Excellence for iRAP (the International Road Assessment Programme), which is a global programme working to save lives investing in Risk Mapping, Star Rating, Safer Roads Investment Plans, and Policy and Performance Tracking tools.
TRL has developed a Speed Management Assessment Tool (SMAT) powered by iRAP coding data. SMAT takes iRAP Star Rating data to assist stakeholders in managing speed in robust ‘intelligence-led’ way.
The research intends to verify the SMAT efficacy in LMICs and provide methodologies for the evaluation and management of speed for embedding into countries’ road safety operations.
Objective of the Assignment
SWN in association with Traffic & Transport Unlimited Solution Pvt. Ltd (TATUS) carried out the spot speed survey in two National Highways of Nepal (NH34- Janakpur and NH22- Arniko Highway). The objective of the survey was to collect data to determine vehicle speed percentiles, which are useful in making many speed-related decisions.
Key Activities and Service Provided by SWN and TATUS
In undertaking the assignment, the survey team carried out the following activities:
- Consultation with TRL in identifying survey locations and 3 sites in each location
- Spot speed measurement of cars and all motor vehicle types in a specific location during free flow hours (6-8 am, 1-3 pm and 8-10 pm) in each site.
- Collected spot speed data from more than 11,000 motor vehicle types (6096 were cars) from NH34 and NH22 national highways.
- Speed data entry according to the motor vehicle type in Open Data Kit (ODK)
- Data analysis including calculation of 85th percentile speed of cars, bikes and all vehicles and final report preparation.
Output
All vehicle types spot survey report and data to determine vehicle speed percentiles, which are useful in making many speed-related decisions.
