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  • EvoRoads Safety Criteria Catalog

    KPIs feedback form
  • About the EvoRoads project

    The EvoRoads project aims to accelerate the achievement of the European Union’s Vision Zero goal through a holistic framework of innovative models, tools, and services that enable data-driven evolution of safety assessment frameworks. The project facilitates dynamic monitoring of cyber-physical infrastructures and promotes proactive warnings for safety risks in complex environments.

    At the operational level, EvoRoads defines safety criteria and quantification methodologies for KPIs, covering the entire spectrum of the “Safe System” approach. The project develops a connectivity platform where transport infrastructure assets are digitalised, and safety assessment services operate harmoniously.

    https://evoroads-project.eu/ 

    About the EvoRoads Safety Criteria Catalog

    EvoRoads advances road safety through a multi-layered safety assessment framework integrated into a digital mobility space, utilising AI-driven analytics and sensor data fusion. Its objectives include creating a federated platform for infrastructure monitoring and safety management, promoting policy recommendations, and fostering standardisation across European countries. In the project's initial phase, a structured matrix of 124 safety indicators was developed, categorised into ten transport dimensions. This matrix highlights advanced solutions in infrastructure monitoring and vehicle technology while identifying gaps in areas such as vulnerable road users (VRUs) and C-ITS. Recognising the need for periodic updates, the work underscores the importance of continued collaboration among member states to adapt to evolving technologies and legislation, ensuring alignment with European safety objectives.

    The objective of this form is to gather feedback on a selected set of key safety indicators, categorised into five main groups.

     

    Thanks in advance for your feedback!

  • Use Behaviour

    The introduction of safe road user behaviour as a road safety pillar in 2011 emphasised the importance of integrating enforcement with public education to mitigate key contributing factors like speeding, alcohol consumption, distraction, and non-compliance with safety regulations. Although road user behaviour is often cited as a major cause of crashes, systemic failures in infrastructure, legislation, and vehicle design also play critical roles.

    Analysis of crash causes highlights that behavioural factors dominate, yet there is a push for standardised metrics, such as those introduced by the Baseline and Trendline projects, to address gaps and improve data accuracy. New indicators focus on diverse aspects like reflective gear use, distraction among all road users, and helmet condition, aiming for a holistic approach to mitigating accidents, particularly for vulnerable road users (VRUs). Future efforts will require methodological improvements and deeper exploration of these indicators' impacts.

    Indicators

    Alcohol use

    Definition: Percentage of drivers driving within the legal limit for blood alcohol content (BAC).

    Method: Random breath tests, breath testing from enforcement action, or self-reported behaviour.

    Notes: Use KPI. Baseline KPI minimum requirement targets passenger cars on urban roads, rural roads, and motorways. Can be expanded to, for example, include other vehicle types or groupings of BAC levels. As discussed in Yannis and Folla (2022), the EC has expressed a preference for the Baseline KPI to be based on randomised breath tests. However, it is recognised that this may not be possible for all Member States due to practical or legal reasons. Therefore, the three options are available. Note that the legal limit for BAC varies between different countries. Italy, for example, has a legal limit of 0.5 g/l compared to 0.2 g/l in Sweden.

    Speed compliance 

    Definition: Percentage of vehicles travelling within the speed limit.

    Method: Observation of momentaneous speed in free-flowing traffic using, for example, pneumatic tubes, radar or camera systems. Measurement locations should be randomly selected and represent the entire road network studied.

    Notes: Use KPI. Baseline KPI minimum requirement targets passenger cars on urban roads, rural roads, and motorways. Can be expanded to include, for example, average speed and other vehicle types. Swedish KPI is slightly different to Baseline KPI as it considers share of traffic volume instead of share of vehicles. It is also based on more extensive, but less frequent, observations at 1 500 location every four years for the national road network.

    Safety belt and CRS use

    Definition: Percentage of vehicle occupants using the safety belt or child restraint system correctly.

    Method: Observations or use of camera at randomly selected locations.

    Notes: Use KPI. Baseline KPI minimum requirement targets both front seat and backseat occupants in passenger cars on urban roads, rural roads, as well as motorways. Can be expanded to include, for example, drivers in goods vehicles

    Helmet use, PTWs and cyclists

    Definition: Percentage of riders of powered two wheelers and bicycles wearing a protective helmet.

    Method: Observations. Random selection of observation points representative of the road network studied.

    Notes: Use KPI. Baseline KPI minimum requirement targets urban roads, rural roads, and motorways and includes driver/passenger and age (if legally relevant). Can be expanded to, for example, include sex, other protective equipment and correct use of helmet.

    Helmet Fit and Condition

    Definition: It could evaluate the proportion of helmets that are worn correctly and in good condition (not damaged or too old) among road users such as motorcyclists, cyclists, PMD riders, and moped riders.

    Method: There is no standardized methodology for this indicator yet. Data could be collected based on field inspections or self-reports, with a focus on helmet condition (age, visible damage) and fit (tightness, correct fastening).

    Notes: FEMA, among others, highlighted the need of considering, besides the percentage of helmet wearing itself, which is easier to be detected also through cameras, the status of the helmet and the correct fit as essential elements to assure their protective function for all road users involved, e.g. motorcyclists, cyclists, PMD and MOPED riders. Hence, this is a newly proposed indicator to expand the knowledge on riders’ security.

    Distraction from devices (VRUs)

    Definition: It could measure the proportion of incidents involving VRUs (e.g., pedestrians, cyclists) distracted by devices such as mobile phones or headphones.

    Method: There is no standardized methodology for this indicator yet. Data could be collected from police reports, insurance claims, hospital records, self-reports from injured parties.

    Notes: The Baseline project addresses this contributing factor for motorized vehicles, but it is generally recognized that distraction from devices could be involved also in VRUs incidents, not only in case of handled devices but also considering isolation caused by headphones, which is not handled by Baseline. Some European countries, such as Denmark, already have regulations concerning cyclists use of devices, but most not. Moreover, it should be noted that, concerning cars, only distraction from mobile devices is currently widely monitored, while distraction coming from the advanced technology systems, screens, installed in modern cars is a recent theme, yet to be explored. However, several studies underline a maximum number of seconds (e.g. 12s) over which distraction from any causes become critical.

     

    Feedback on Individual KPIs

    Please evaluate each KPI based on the following criteria:

    Relevance: Is the KPI important for assessing road safety?
    Feasibility: Can this KPI be practically measured or implemented?
    Suggestions: Share any ideas to improve this list of KPIs.

  •  
  • Vulnerable Road Users (VRUs)

    The term Vulnerable Road Users (VRUs) encompasses pedestrians, users of micro-mobility modes such as bicycles, e-bikes, and personal mobility devices (PMDs), and groups like children, the elderly, and those with disabilities. Due to their lower speeds, lack of physical protection, and greater exposure to risks, VRUs are highly susceptible to injuries and fatalities in accidents, particularly in collisions with motorised vehicles. They account for a significant proportion of fatalities, with EU data showing they represent 70% of urban road deaths, and many victims are aged 65 and older.

    Incorporating VRU safety into road safety frameworks is crucial as it highlights the diverse needs of road users, supports inclusive policy-making, and promotes sustainable mobility by encouraging safer walking and cycling, benefiting public health and the environment.

    Indicators

    Protected infrastructure Ratio
    Definition: Percentage of km of road with protected bike lanes (those with physical barriers) to unprotected bike lanes. Protected lanes provide a higher level of safety by offering physical separation from vehicles.

    Method: The method of assessing this feature is %km.

    Reference: Highway Code, road design and construction manuals, road traffic management manuals.

    Notes: Separating vehicle types within the road is always good for the safety of all users.

    Speed compliance

    Definition: Percentage of vehicles travelling within the speed limit.

    Method: Observation of momentaneous speed in free-flowing traffic using, for example, pneumatic tubes, radar or camera systems. Measurement locations should be randomly selected and represent the entire road network studied.

    Notes: Use KPI. Baseline KPI minimum requirement targets passenger cars on urban roads, rural roads, and motorways. Can be expanded to include, for example, average speed and other vehicle types. Swedish KPI is slightly different to Baseline KPI as it considers share of traffic volume instead of share of vehicles. It is also based on more extensive, but less frequent, observations at 1 500 location every four years for the national road network.

    Skid resistance or adhesion (to wheel-pavement contact)
    Definition: Percentage of km of road surface with a wheel adhesion coefficient between 0,7 and 0,85. The coefficient of adhesion is very important for the safe movement of vehicles.

    Method: The method of assessing this feature is %km.

    Reference: Road design and construction manuals.

    Notes: This value may be affected by weather conditions and infrastructure maintenance. Adverse weather conditions such as rain, snow and ice significantly reduce the skid resistance (or adhesion). Similarly, poor maintenance of the road surface such as poor cleaning, presence of foreign material and widespread irregularities also affect the skid resistance (or adhesion). Data could be monitored in real time using sensors on board vehicles capable of detecting the condition of road surfaces. Recent studies consider the different needs of VRUs vehicles, e.g., mopeds, bicycles, which usually use specific parts of the road, different from cars, and are more susceptible also to minor imperfection of the pavement.

    Parking Compliance
    Definition: It could monitor the percentage of e-scooters, MOPEDs, and bicycles parked in designated parking zones to avoid obstructing pathways and creating hazards for pedestrians.

    Method: There is no standardized methodology for this indicator yet.

    Notes: Ensuring that e-scooters, MOPED and bicycles are parked properly It is generally recognized an important element, to avoid obstructing pathways and creating hazards for pedestrians and other moving VRUs. As to authors knowledge, there are no recognized indicators to measure this, but it could surely benefit from new technologies such as satellite imagery, to identify recurrent incompliances.

    Speeding (VRUs)
    Definition: It could monitor the adherence to speed regulations of e-scooters, e-bikes, MOPEDs to ensure compliance with local speed limits, particularly in areas with high pedestrian activity, once proper speed limits have been set.

    Method: There is not yet a standardized methodology for this indicator.

    Notes: This indicator is emerging, as e-scooter and MOPEDs regulations are still evolving across Europe. Moreover, differently from cars and motorcycles which are easily recognized by the license plate, there is the need of new methods and regulations which would allow identification of the rider also through automatic means. Otherwise, implementability remains too complex and mostly limited to on-site police checks.

    Helmet use, PTWs and cyclists
    Definition: Percentage of riders of powered two wheelers and bicycles wearing a protective helmet.Method: Observations. Random selection of observation points representative of the road network studied.

    Notes: Use KPI. Baseline KPI minimum requirement targets urban roads, rural roads, and motorways and includes driver/passenger and age (if legally relevant). Can be expanded to, for example, include sex, other protective equipment and correct use of helmet.

     

    Feedback on Individual KPIs

    Please evaluate each KPI based on the following criteria:

    Relevance: Is the KPI important for assessing road safety?
    Feasibility: Can this KPI be practically measured or implemented?
    Suggestions: Share any ideas to improve this list of KPIs.

  •  
  • Infrastructure and Road Side Safety Devices

    Road infrastructure is a complex system of interconnected elements, each contributing to the usability and safety of the road network for both Vulnerable Road Users (VRUs) and vehicles. The road, as the central element, serves as the public area for circulation and must be designed, constructed, and maintained to promote intrinsically safe behaviour. The safest roads are self-explaining, with features such as well-designed roadways, signage, and intersections guiding users towards safe practices.

    Key aspects of road geometry that influence accident risk include the length of straight sections, roadside width, radius of curvature, longitudinal slope, appropriate transitions between straight and curved sections, adequate visual distance, dedicated lanes for traffic separation, pavements, and cycle paths. Flooring also plays a critical role, with functional characteristics like skid resistance and surface regularity impacting safety and comfort.

    To enhance passive road safety, roadside safety devices are implemented to mitigate incident effects, provided they significantly reduce potential consequences. Optimal barriers ensure impassability, preventing vehicles from leaving the road or penetrating the containment structure, while also gradually redirecting vehicles back onto the road to minimise secondary collisions. Furthermore, these devices prioritise occupant safety by reducing the acceleration forces experienced during an impact, thereby minimising harm to individuals and vehicles.

    Indicators

    Adjustment of road margins
    Definition: Percentage of km of road with adjusted road margins.

    Method: The method of assessing this feature is %km.

    Notes: The objective is to reduce the severity of accidents caused by exiting the road by avoiding impacts with obstacles on the side of the road, either by ensuring that there are no elements that could be considered dangerous obstacles, or by achieving clear margins and the presence of materials such as gravel, sand, or rubber derivatives, which help the vehicle to brake before reaching any obstacle that may exist.

    Appropriate visual distance
    Definition: Percentage of km of road where the distance of visibility is clear of obstacles and obstructions. Road driving is regulated by the driver in relation to his ability to see what surrounds him. For this reason, it is necessary to ensure adequate visibility so that the driver can immediately and correctly read the road.

    Method: The method of assessing this feature is %km.

    Reference: Road design and construction manuals.

    Notes: An appropriate distance of visibility also means eliminating or mitigating as much as possible those elements that limit the driver’s visibility of any type of transport (car, bus, truck, motorcycle, etc.).

    Central safety barriers 
    Definition: Percentage of km of road with central safety barriers. These are very important for dividing the directions of a road.

    Method: The method of assessing this feature is %km.

    Reference: Road design and construction manuals.

    Notes: Road safety barriers are complementary to each other in order to ensure a good level of safety.

    Controlled intersections using traffic lights/roundabout
    Traffic lights 

    Definition: Percentage of intersections regulated using traffic lights. This type of intersection minimises the conflicts between the various vehicles occupying the intersection.

    Method: The method of assessing this feature is %unit (in this case the unit is controlled intersection using traffic lights).

    Reference: Road design and construction manuals, road traffic management manuals.

    Notes: This type of intersection is the safest and records the least number of incidents.

    Roundabouts 

    Definition: Percentage of roundabouts present. This type of intersection promotes the reduction in speed and the regularisation of traffic flows and consequently increase the level of safety.

    Method: The method of assessing this feature is %unit (in this case the unit is controlled intersection with roundabout).

    Reference: Road design and construction manuals, road traffic management manuals.

    Notes: Roundabouts are used to regulate traffic on all the routes connected to it, so combining safety and traffic management.

    LED reflectors
    Definition: Percentage of km of road with LED reflectors.

    Method: The method of assessing this feature is %km.

    Notes: Facilitate guidance along the road layout, especially at night or in low-light conditions. Warn the driver that he or she is approaching a crossing area, dangerous curves or coexistence with vulnerable users.

    Skid resistance or adhesion (to wheel-pavement contact) 
    Definition: Percentage of km of road surface with a wheel adhesion coefficient between 0,7 and 0,85. The coefficient of adhesion is very important for the safe movement of vehicles.

    Method: The method of assessing this feature is %km.

    Reference: Road design and construction manuals.

    Notes: This value may be affected by weather conditions and infrastructure maintenance. Adverse weather conditions such as rain, snow and ice significantly reduce the skid resistance (or adhesion). Similarly, poor maintenance of the road surface such as poor cleaning, presence of foreign material and widespread irregularities also affect the skid resistance (or adhesion). Data could be monitored in real time using sensors on board vehicles capable of detecting the condition of road surfaces. Recent studies consider the different needs of VRUs vehicles, e.g., mopeds, bicycles, which usually use specific parts of the road, different from cars, and are more susceptible also to minor imperfection of the pavement.

    Horizontal sign & vertical sign

    Horizontal

    Definition: Percentage of km of road with road markings to indicate the road and lanes. Many roads due to poor maintenance are lacking road signs that leads the driver not to properly manage the space available for circulation.

    Method: The method of assessing this feature is %km.

    Reference: Highway Code.

    Notes: The presence of horizontal signs has benefits both for safety and for traffic flow management.

    Vertical

    Definition: Percentage of km of road with vertical signs where they are needed. The absence of a road sign before a specific point on the infrastructure may cause incidental events.

    Method: The method of assessing this feature is %km.

    Reference: Highway Code.

    Notes: Statistics tell us that drivers do not read all the vertical signs on a road. For this reason, too, they must be present, clearly legible and visible.

    Side safety barriers
    Definition: Percentage of km of road with central safety barriers. These are very important for protecting the sides of the infrastructure.

    Method: The method of assessing this feature is %km.

    Reference: Road design and construction manuals.

    Notes: Road safety barriers are complementary to each other in order to ensure a good level of safety.

    Presence of cycle paths/presence of sidewalks

    Cycle paths

    Definition: percentage of km of road with cycle path or dedicate bicycle lane. The presence of cycle paths is essential to allow the transit of cyclists who would otherwise be forced to move on the road interfering with vehicle traffic.

    Method: The method of assessing this feature is %km.

    Reference: Road design and construction manuals, road traffic management manuals.

    Notes: The presence of cycle paths is a mandatory condition in urban areas as well as in extra-urban areas for more effective protection of cyclists.

    Sidewalks

    Definition: percentage of km of road with sidewalks. The presence of sidewalks is essential to allow the transit of pedestrians who would otherwise be forced to walk on the road resulting in a danger for themselves and drivers.

    Method: The method of assessing this feature is %km.

    Reference: Road design and construction manuals, road traffic management manuals.

    Notes: The presence of sidewalks is a mandatory condition in urban areas. In the outlying areas are recommended only on those streets with heavy pedestrian flow.

    Visibility and lighting quality
    Definition: Percentage of m2 with sufficient lighting and visibility in the areas frequently used by cyclists and e-scooter riders, at night. Good visibility reduces the risk of accidents, especially in low-light conditions.

    Method: The method of assessing this feature is %m2.

    Reference: Road design and construction manuals.

    Notes: The higher the visibility, the greater the ability of the driver to cope with driving and consequently avoid accidents. Data could be monitored in real time using sensors detecting the quantity and quality of lighting.

    Dedicated lanes to divide traffic by direction and categories
    Definition: Percentage of km of road with dedicated lanes to divide traffic by direction and category. Divide traffic by category (cars, buses, bicycles, etc.) or by direction (straight, right, left, etc.) is important especially near intersections to limit as much as possible the points of interference between different flows.

    Method: The method of assessing this feature is %km.

    Reference: Road design and construction manuals, road traffic management manuals.

    Notes: The presence of lanes dedicated to specific categories or to specific manoeuvres has benefits both for safety and for traffic flow management.

    Feedback on Individual KPIs

    Please evaluate each KPI based on the following criteria:

    Relevance: Is the KPI important for assessing road safety?
    Feasibility: Can this KPI be practically measured or implemented?
    Suggestions: Share any ideas to improve this list of KPIs.

  •  
  • Vehicles & C-ITS & CCAM

    Modern transportation systems are rapidly evolving, driven by advancements in vehicle technology and mobility solutions. Vehicles today include a diverse range of types, such as cars, motorcycles, bicycles, and scooters, and are increasingly equipped with advanced safety features like airbags, anti-lock braking systems (ABS), and Advanced Driver Assistance Systems (ADAS). ADAS leverages sensors, AI, and connectivity to enhance driving safety and reduce accidents.

    Cooperative Intelligent Transport Systems (C-ITS) further advance mobility by enabling real-time communication and coordination between vehicles (V2V), infrastructure (V2I), pedestrians (V2P), and networks (V2N) under the broader V2X category. These systems rely on digital connectivity, IoT, and data analytics to optimise traffic management and safety.

    Complementing these developments, Cooperative, Connected, and Automated Mobility (CCAM) integrates cooperative systems, connected technologies, and automation, fostering efficiency and safety. It encompasses SAE-defined automation levels, ranging from driver assistance (Level 1) to full automation (Level 5), shaping the future of self-driving vehicles and sustainable urban mobility.

    Indicators

    Adaptive cruise control
    Definition: Percentage of cars that support adaptive cruise control.

    Method: The method of assessing this feature is %unit.

    Notes: Adaptive cruise control adjusts the vehicle’s speed to maintain a safe distance from the car ahead.

    Lane keeping assist
    Definition: Percentage of cars that support lane keeping assist.

    Method: The method of assessing this feature is %unit.

    Notes: Lane keeping assist actively steers the vehicle back into the lane if the driver does not respond to the warnings.

    Traffic sign recognition
    Definition: Percentage of cars that uses cameras to detect and interpret road signs.

    Method: The method of assessing this feature is %unit.

    Notes: Traffic sign recognition displays this information to the driver and sometimes integrates it with the vehicle's speed control systems.

    Adaptive and/or smart traffic signage
    Definition: Percentage of connected or adaptive signage.

    Method: The method of assessing this feature is %unit.

    Notes: It provides real-time information to drivers about traffic conditions, road work, and other important updates.

    Automatic emergency braking
    Definition: Percentage of cars that automatic emergency braking.

    Method: The method of assessing this feature is %unit.

    Notes: Automatic emergency braking applies the brakes in case the driver does not act in time after the detection of an impending collision with another vehicle, pedestrian, or object.

    Automation level
    Definition: Percentage of cars that support V2X operations and automation of a certain level.

    Method: The method of assessing this feature is %unit.

    Blind spot detection

    Definition: Percentage of cars that monitors the vehicle’s blind spots.

    Method: The method of assessing this feature is %unit.

    Notes: Blind spot detection alerts the driver to the presence of other vehicles that may not be visible in the mirrors.

    Car safety ratings

    Definition: Percentage of passenger cars with a Euro NCAP safety rating equal or above a threshold.

    Method: National statistics on newly registered passenger cars.

    Notes: System KPI. Baseline KPI does not specify the threshold but focuses on 4-star and 5-star ratings in the report. The KPI is calculated in two ways: including or excluding cars without a star rating in the denominator.

    Driver monitoring systems

    Definition: Percentage of cars with driver monitoring systems.

    Method: The method of assessing this feature is %unit.

    Notes: Driver monitoring systems uses internal cameras and sensors to monitor the driver’s attention and alertness, warning them if signs of drowsiness or distraction are detected.

    Network availability

    Definition: Percentage of km of road covered by network.

    Method: The method of assessing this feature is %km.

    Notes: Network coverage is fundamental to exchange and provide to all road users real time information on combined network quality, service availability and infrastructure conditions.

    Connected roadside units
    Definition: Percentage of km of road covered by the area of action of an RSU.

    Method: The method of assessing this feature is %km.

    Notes: RSUs facilitate communication between vehicles and infrastructure, providing information on traffic conditions, hazards, and road status.

    Feedback on Individual KPIs

    Please evaluate each KPI based on the following criteria:

    Relevance: Is the KPI important for assessing road safety?
    Feasibility: Can this KPI be practically measured or implemented?
    Suggestions: Share any ideas to improve this list of KPIs.

  •  
  • Traffic Management

    Traffic management encompasses a broad range of strategies and systems aimed at optimizing traffic flow, enhancing road safety, and reducing congestion, primarily managed by public authorities and traffic control centers. While lacking a universal definition, it includes several key subcategories: Traffic Flow Optimization (e.g., signal timing, congestion pricing, and lane management), Traffic Incident Management (e.g., real-time monitoring and response planning), Speed Management, Data Collection and Analysis (e.g., traffic surveys and modeling), Technology Integration (e.g., intelligent transportation systems and connected vehicles), and Policy and Planning (e.g., area plans, regulations, and enforcement).

    Indicators

    Congestion level (volume/capacity)
    Definition: It measures the percentage of time road infrastructure operates at or above capacity, which is closely linked to accident probability due to increased driver stress and reduced responsiveness.

    Method: It is expressed as the ratio of traffic volume to road capacity, often expressed as a percentage or congestion index. Data are collected from traffic counters, GPS data, smart cameras, and ITS.

    References: Road traffic management manuals.

    Notes: This indicator is well-established and used in urban planning and congestion management. It has high relevance for urban areas but also critical in highways and rural roads with heavy traffic. Data could be monitored in real time using ITS technologies.

    Signal timing and coordination
    Definition: It assesses the percentage of traffic lights synchronized to allow smooth traffic flow, minimizing stop-and-go driving, which can reduce the risk of accidents and improve road safety.

    Method: Data can come from traffic signal systems, smart city infrastructures, ITS data.

    References: Road traffic management manuals.

    Notes: This indicator is not widely diffused but already implemented in most advanced traffic management systems, since it requires integration with city-level traffic management systems. It is particularly useful in congested urban centres. Data could be monitored in real time using ITS technologies.

    Dynamic adaptation of speed limits
    Definition: Percentage of km of road with dynamic adaptation of speed limits.

    Method: The method of assessing this feature is %km.

    Notes: The application of variable speed limits allows authorities to dynamically adapt the speed limit depending on the prevailing traffic, weather or environmental conditions in accordance with real-time data.

    Pedestrian/cyclists waiting time at crossings
    Definition: It measures the time pedestrians or cyclists have to wait at traffic lights or crossings before they can safely cross the road, which can impact safety if wait times are too long.

    Method: Data can come from traffic signal systems, pedestrian surveys, city-level transport systems.

    References: Road traffic management manuals.

    Notes: An increased waiting time stresses the pedestrian or cyclist who is encouraged to cross even without authorisation, thus jeopardising his safety and that of other road users. The green times for each vehicle category must be well calibrated in relation to the actual flow need. It is established but not systematically measured in many countries. Data could be monitored in real time using ITS technologies.

    Variance of traffic speed
    Definition: It measures the degree of variability in the speed of vehicles across a road network, which can reflect both traffic congestion and risky driving behaviour. High speed variance is linked to a higher probability of accidents.

    Method: The goal is to analyse the standard deviation of vehicle speeds within a given timeframe and location, but the spatial and temporal granularity could vary greatly in different studies. Data can be collected from speed sensors, GPS systems, traffic cameras, and intelligent transportation systems (ITS).

    Notes: This indicator is established but used alternatively to other indicators such as congestion level. Data could be monitored in real time using ITS technologies.

    Signs activated for speed calming
    Definition: Percentage of km of road with signs activated for speed calming.

    Method: The method of assessing this feature is %km.

    Notes: This is a driving assistance measure that aims to reduce speed when approaching points or stretches of road safety that pose a particular risk. It calms traffic on the stretches where it is installed.

    Time to clear incidents/recovery time
    Definition: Percentage of incidents resolved in a short time to allow traffic to resume normal flow. If these times are longer than necessary, the damage of the incident may affect traffic causing additional inconvenience and secondary accidents.

    Method: Time elapsed between incident detection and full traffic recovery. Data can come from traffic incident reports, real-time monitoring systems, ITS.

    Notes: The indicator is well-established in advanced traffic systems. 

     

    Feedback on Individual KPIs

    Please evaluate each KPI based on the following criteria:

    Relevance: Is the KPI important for assessing road safety?
    Feasibility: Can this KPI be practically measured or implemented?
    Suggestions: Share any ideas to improve this list of KPIs.

  •  
  • Thanks for submitting your feedback! 

     

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