Connected Road Safety
HUMAN CENTERED DIGITALLY ENABLED
"Transforming road safety for a sustainable world"
Road traffic crashes are not accidents, they are completely preventable
Global Status Report on Road Safety - WHO 2018
Challenges
Digital Maturity
How Can We Help?
Our Services
Advisory
Systems
Data Management & Analytics
Case Studies
Contact Us
Challenges of transforming road safety for a sustainable world
The Corporate Challenge
Hazardous goods transportation
Field technical services
Last mile delivery
The corporate challenge
Road crashes cost the world well over USD$500Billion or 3% of GDP for most countries
WHO
Road crashes cost US corporates nearly USD$60Billion in direct costs
2018 Driver Safety Risk Report
Hazardous goods transportation Field technical services Last Mile Delivery
Road safety is a global corporate challenge. Asset intensive industries as well as the services sector need to address this proactively to manage reputational risk, contractor and employee safety and financial loss. Advanced road safety technologies are essential but not sufficient to mitigate road safety risks
Global companies are experiencing significant growth in hazardous goods transportation, especially in the developing world. Any incident represents a significant reputation risk.
Outsourced (contractors and third parties) transportation is particularly challenging, owing to lack of real-time visibility of operations and appropriate risk assessment and control.
Incidents in population centres (both rural and metropolitan) can cause severe impact to communities, vulnerable road users and the environment.
Leveraging advanced technologies such as fatigue cameras and In-vehicle telemetry often poses a new challenge. Operations and safety personnel are bombarded with large volumes of alerts and alarms which are not leading to actionable operational intelligence.
Corporate reputational risk Non-compliance / legal fines Contractor / 3rd party management Community / environment hazards
Technicians working in remote locations, unaccompanied, and travelling to and from hazardous worksites
New and emerging modes of transport in metropolitan areas (e.g. e-bikes) and in remote locations
Vehicle insurance costs are a key operational consideration for fleet performance efficiency
On-board telemetry systems are not effective in managing risk unless they are connected to route planning and EHS enterprise systems.
Lone worker risk Route and fuel efficiency Insurance costs
Last Mile Delivery
Digital ecommerce and exponential growth in next day deliveries can have unintended consequences - unsafe cities
Even though heavy goods vehicles are small in number, they are involved in a disproportionate number of fatalities in cities
Developing countries have a severe challenge associated with two-wheeler based deliveries which are involved in a large number of fatalities
Digital technologies are necessary but not sufficient to address these challenges. Driver behaviour, Vehicle/ road design and other factors have to be considered.
Next or/ same day deliveries High vulnerability neighbourhoods Developing countries – two wheeled vehicles
NATCO
Imagine balancing road safety and fleet performance by combining digital technologies and road safety expertise.
ERM Connected Road Safety
Dynamic Hazard Detection Solution
High-risk vehicles identified
Dynamic Hazard Detection
Further investigation on risk factors
Alerts triggered when threshold value is breached
Detailed real-time information on driver, vehicle and external conditions.Ability to directly alert driver, immediately.
The Road Safety Lab
Our framework, based on deep road safety expertise and research projects enables advanced algorithms to identify emerging risk patterns specific to your business.
Driving Risk Management Framework
Driver factors
Route factors
Cargo factors
Conditional factors
• Driver familiarity with route/vehicle type • Driver biometrics (fatigue etc)
• Vehicle maintenance/ inspection regimetype • Live telematics showing vehicle health error codes
• Accident history on route and live traffic conditions • Driver predicted progress against delivery schedule
• Cargo type (hazardous non-hazardous) • Cargo delivery schedule
• Weather conditions on the route • Other driver behaviours
Vehicle factors
Supporting skilled human performance
Our human factors, operational safety specialists and data scientists are using advances in psychological, ergonomic and data science to:
People do not operate in a vacuum, where they can decide and act all-powerfully. To err or not to err is not a choice. Instead, people’s work is subject to, and constrained by, multiple factors”.
— Sidney Dekker
• Build or re-design workplaces, tasks and ways of working where the default or easiest option is the safest and most efficient.
• Introduce technology within operations that provides resilient performance and effective business decision making.
• Unpick the real reasons for non-compliances with safe working practise and procedure.
• Map the full range of factors shaping human performance to ensure sustained behaviour change and response.
Road Safety Benchmarks and Audits
High Risk Vulnerability Analysis
Driver Behaviour Toolkit
Auditing against corporate road safety governance and international best practise. Benchmarking organisations against peers and building business cases to address key road safety risks.
Risk and control management associated with all types of hazardous cargo transportation across all regions in the world.
Designing and delivering class leading behavioural analyses and interventions to address driver behaviours and cultures, driver competence and assessment.
Dynamic Hazard Detection Models
Big Road Data Visualization
Driver Fatigue Risk Reduction
Advanced algorithms correlating multiple data such as road characteristics, driver behaviour, weather conditions and vehicle records to identify risks and suggest preventive actions.
Near real-time decision dashboards, aligned to your Operations Performance Indicators, enable you to manage driving and operational risks.
Delivery of end-to-end driver fatigue reduction systems covering driver and route risk profiling, in-cab monitoring technology and integration of fatigue monitoring into daily decision making.
Connected Road Safety Ecosystem
Road Safety Lab
LEADING OIL & GAS PLAYERS
LEADING LOGISTICS PLAYERS
DIGITAL SERVICES
ROAD SAFETY
Business Analyst
Data Scientist
Senior Consultant
Behaviour Analyst
HUMAN FACTORS
Principal Consultant
Data Architects
Human Behaviour Design
Where the rubber meets the road
Case Study:
Integrated management of road safety events for improved road safety risk management
Key Insights:
The organisation collected in-vehicle monitoring data from over 1000 vehicles. This data was primarily used for asset management purposes including vehicle maintenance schedules. Working together, we identified key safety related data points already being collected (e.g. vehicle speed, braking characteristics, seat belt violations) which could provide a set of valuable leading and lagging indicators to support road safety risk management. Using a bespoke filtering engine relevant safety events were automatically streamed into the clients SAP Incident Management system enabling the following:
Following the introduction of this solution, there was a 97% reduction in all unsafe driving breaches
• Reliable, automated recording and notification about all road incidents within the organization. • A new set of road safety leading indicators to be introduced into daily monitoring and monthly reporting cycles. • Management of the road incidents in line with the company’s safety guidelines.
The organisation has invested millions equipping it’s fleet with in-cab driver fatigue detection and on-board vehicle telematics systems. However, these systems were delivering very limited operational value. Also, they were not helping to reduce incidents or prevent crashes. Bringing together multiple streams of leading and lagging data, we built advanced predictive models showing the key factors which influence road safety risk. These include:
Predicting road safety performance: modelling leading and lagging indicators to inform day-to-day management of road safety
• Driver styles and behaviour • Vehicle performance characteristics • Route conditions • Weather conditions
These predictive models are planned to be used by the organisation to inform route definition, driver rostering, and contractor management to reduce their risk.
Research-based road safety interventions: A toolkit to improve understanding of driver behaviours and to help users select interventions, measure impacts and monitor implementation
Key learning points
The toolkit is in use across the organisation and provides the focal point for all behavioural interventions. Effectively informing people about how to change behaviour, monitor impacts and sustain change was critical.
This organisation can influence driver behaviours through the design, management, and operation of the highways and major road network in part of the UK. Building on the extensive academic research base, they wanted to inform staff and provide a store of best practise interventions, with proven success in changing unsafe driving behaviours. Our specialists conducted a 12-month review of education, enforcement, encouragement and engineering behavioural interventions that had been tested on the road network and built these into an interactive toolkit.
Thank You
Contact us: digital@erm.com
Manish Godkhindi Senior Partner: Digital Innovation and Advanced Analytics manish.godkhindi@erm.com +44 7507643606
