Road Safety Footprint is the result of; influence, actions, existence or an event that causes interaction in the Road Transport System. The Road Transport System consists of three main elements; user (natural and juristic), vehicles (motorized and non-motorized) and infrastructure (road surface, signals and engineered safety fittings).
Our main purpose is to gather intelligence by identifying insights from encounters attributed to elements in the Road Transport System. We then use an algorithm based on multiple variables and predict outcomes. These outcomes are then ranked based on their risk levels.
An encounter could be a traffic law infringement (behavioural, compliance or mechanical), infrastructural defect causing traffic to react in an unintended manner, lack of compliance, vehicle mechanical defect, etc.
We also evaluate and rate a user’s (natural or juristic) efforts to improve their interaction in the Road Transport System. This could be operational processes, road safety technical equipment, participation and training taken/given by users. These ratings contribute to the overall footprint allocated to a user or custodian of vehicle or infrastructure.
Each element is rated with a Passive, Good, Good with Merit, Bad or Hazardous Road Safety Footprint.
Our focus is on the amount of risk each encounter causes on the road network. User risk is assigned to natural or juristic persons; vehicle risk is assigned to the vehicle registration number and in turn the registered custodian which can be further nominated to the driver who is responsible for the action; and infrastructural risk is assigned to the custodian of the infrastructure.
This approach is more exact in determining:
- impact of transport, supply chain and logistic needs of each commercial or government entity on the communities they serve and on the overall road network.
- Individual user behavioral traits,
- Evaluating the effectiveness of interventions and enforcement
- Resources for the right prevention initiatives
- Adequacy of infrastructure in safely accommodating traffic flow.
Our use of cognitive computing and continuous engineering produces a Road Safety Footprint in real time as soon an encounter is captured into our system. This improves your decision making process.