Weather and air quality in optimizing traffic management Erik Sucksdorff Director Sales Roads, Europe
Vaisala @ Intertraffic 2022, Erik Sucksdorff
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Weather and air quality in optimizing traffic management Vaisala – our legacy Climate change – adaptation, mitigation Solutions – sensors, systems, data Use cases – adaptation, mitigation Ecosystem – systems integration
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19-Apr-22
Vaisala – our legacy Climate change – adaptation, mitigation
Vaisala Weather and Environment Markets segments
Meteorology
Aviation
Renewable Energy
Road and rail
2022-03-31
Smart cities
Ecosystem – systems integration
▪ Global Leader in Weather and Environmental Measurements ▪ Net Sales 437.9 M€ and 1 900+ employees. 13% of Net Sales in R&D. ▪ Full-stack offering from reliable sensors to scalable systems and powerful analytics.
Weather Instruments
Weather Systems
Radio Soundings
Weather Radars
Wind lidars
Digital solutions
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Use cases – adaptation, mitigation
Maritime
Product areas
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Solutions – sensors, systems, data
▪ Global reach annually to 150+ countries. ▪ Committed to SDGs and positive handprint.
Vaisala – our legacy Climate change – adaptation, mitigation Solutions – sensors, systems, data
A Changing World ▪ Pollution and Climate Change are now dominating the conversation ▪ We all want things to get better but they won’t on their own… Global Warming is fundamentally changing the climate system • From 1850 to 2020, the average global temperature increased by 1.0°C. • In the last century, the global average sea level rose by 20 cm • Extreme winds, torrent precipitation… Source: NASA, vital signs of the planet, The UN Intergovernmental Panel on Climate Change (IPCC) - Fifth Assessment Report
Poor Air Quality leading to major health Issues • 9 out 10 people worldwide breath polluted air • An increase in airborne PM2.5 of 10 micrograms per cubic meter causes an average loss of life expectancy of 9–11 years Source: World Health Organization; Mikael Skou Andersen, Ecological Indicators, volume 79, (August 2017), published by Elsevier
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Use cases – adaptation, mitigation Ecosystem – systems integration
Taking Action
Adapt Learn to deal with the changing weather to minimise the impact that weather has on traffic
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Mitigate Reduce CO2 and pollutant emissions to minimize the impact traffic has on our living environment
Traffic Management and Weather Weather for Traffic Management
▪ Traffic Management applications where weather is a critical component ▪ ▪ ▪ ▪ ▪ ▪ ▪ ▪ 6
19-Apr-22
Dynamic (variable) Messaging Signs Dynamic speed limits Adaptive signal control Ramp metering Travel time estimation Connected vehicle services Public transport usage and MaaS Connected vehicle services (In Vehicle)
Traffic Management A combination of measures to preserve traffic capacity and improve the security, safety and reliability of the overall transport system. Involves ITS systems, services, projects and day-today operations that impact road network performance Source: PIARC, Charlie Wallace and Greg Speier, Traffic Management
Vaisala – our legacy Climate change – adaptation, mitigation Solutions – sensors, systems, data Use cases – adaptation, mitigation Ecosystem – systems integration
Hyper local road weather forecasts
High resolution radar and Nowcast
Boundary layer measurements
3D – wind observations
Street level Air Quality forecasts
Analytics
Mobile Road weather surface state and temperature
In-fill and Professional Grade
IoT road weather sensor
In-fill sensors
Air Quality
Multi-parameter weather
Environmental sensors
Reference Grade Present Weather Visibility
Air Temperature Humidity
Road surface state and temperature
Road Weather Stations 7
2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Wind speed and direction
3D wind Lidar
Precipitation radar
Boundary layer
Atmospheric profiles
Road Weather Station Traffic Management Platform ▪ A road weather station is not a winter maintenance appliance. It support many critical traffic management applications ▪ Atmospherics – high winds, poor visibility ▪ Road state – slippery roads, aquaplaning ▪ Air quality – particles, NoX, O3, CO, CO2 ▪ Traffic – counting, speed, occupancy ▪ … ▪ Greater efficiency with shared investments between winter maintenance and traffic management
Real-time environmental situational awareness Reference sites strategically placed and maintained Professional Infill sites (fixed and mobile) filling the gaps
Observations sites placed within climatic or demographic domains dependent on use case 9
2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Focus on two Hyper-local analytic layers ▪ Hyper-local Road Weather
▪ Hyper-local Air Quality
▪ Fixed roadside weather observations
▪ AQ measurements
▪ Mobile sensors, IoT and computer vision
▪ Weather observations and forecasts
▪ Topographic details
▪ Boundary/Mixing layer measurements
▪ Sky view
▪ Topographic and land use data
▪ High Resolution Numerical Weather Modelling
▪ Traffic movement ▪ Known pollution sources
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Vaisala – our legacy
Road Weather Adaptation use case – Winter Maintenance
Climate change – adaptation, mitigation Solutions – sensors, systems, data Use cases – adaptation, mitigation Ecosystem – systems integration
▪ Combining observation and forecasts to make a dynamic assessment of the condition of the road surface in terms of weather is a vital input to winter maintenance and extreme weather operations. ▪ By pre-treating road surfaces with anti-icing chemical, significantly less chemical is required to keep roads ice free than if applied after the snow or ice as formed. ▪ This has an economic benefit in keeping business going through severe weather, better use of operational resources and also of course reduces the environmental impact by optimising chemical usage
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Road Weather Adaptation use case – Micro-mobility ▪ Micro-mobility services such as bicycles or scooters are becoming increasingly popular in smart cities all over the world ▪ However, some concerns are raised regards the safety of these services, particularly in wet and icy conditions ▪ By using street by street views of road surface weather scooter operators can dynamically limit the speed and acceleration characteristics to reduce the risk of accident. ▪ This will have the effect of making this green form of travel more appealing to the citizen and city authorities
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Weather Adaptation use case – MaaS and Public Transport ▪ Modal choice is becoming more relevant as multimodal travel operations start up in the city introduced by Mobility-as-a-Service operators ▪ Understanding how peoples choices change due to the weather conditions will become increasingly vital to ensure that demand management delivers a high level of service and offers suitable modes of travel for the conditions ▪ By knowing when people are likely to change from sustainable modes to more personal polluting travel options, nudging interventions can make this reaction more limited particularly by promoting the use of Public Transport
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Road Weather Adaptation use case – Connected and Automated Vehicles
▪ Hyper local weather can be used for infotainment purposes to inform the driver of upcoming weather on their travels ▪ Weather data allows providers to choose the best route to travel and deliver more accurate time of arrival ▪ Severe weather alerts warn the driver of dangerous conditions approaching to reduce accident risk ▪ Automated driving and driver assistance are informed by conditions to help them operate at maximum potential despite the conditions ▪ Weather data can be fed into the vehicle systems to optimise autonomous driving systems
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
AQ Mitigation use case – Dynamic traffic control Primary model input observations measuring both AQ and atmospheric conditions
Verification points to test model accuracy
Interpolated roadside air pollution from model
Potential intervention point
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
▪ A dense network of sensing devices feed into the air quality model to give street by street estimations of actual pollution levels ▪ Traffic lights are optimised to allow traffic to flow more freely where pollution hotspots occur ▪ This will be a dynamic operation as pollution may occur in different locations under changing weather conditions. ▪ The operation can also be done direct from sensor to light sequencing locally at the start and then scale later to full city monitoring and intervention protocols
AQ Mitigation use case – Hybrid geo-fencing ▪ AQ monitoring and short term forecasting can highlight stretches of road where pollution is being created most. ▪ At these times messages can be sent to Hybrid cars in key areas to ensure where practical they run on electric only. ▪ This is a key mitigation action to reduce overall emissions when conditions are critical ▪ This example shows how the A111 running into Berlin Tegel has a large number of high emission locations for particulates ▪ Note similar can be achieved by re-directing certain types of high polluting vehicles, which can then be enforced through number plate recognition 16
2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
AQ Mitigation Use case – Targeted emission control ▪ Known polluters are added as sources to the model. ▪ Under particular conditions these can severely affect nearby population centres as in this example of petrochemical plants to the north of the centre of Nanjing – China ▪ On these days, emissions can be curtailed for the period where the pollution is likely to affect most people, whilst on other days operations can continue as normal ▪ This allows targeted interventions only when absolutely necessary and when they will have their highest impact on the citizens health.
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
AQ Mitigation use case – Verifying intervention impact
▪ Setting up an Air Quality network can allow a baseline to be recorded for use in testing how effective interventions actually are in practice ▪ By carefully releasing new innovations to the city, each initiative can be judged as to how well the claims of the vendors are realised against recorded improvements to the baseline ▪ This allows investment to be targeted where it has the most effect.
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Vaisala – our legacy Climate change – adaptation, mitigation Solutions – sensors, systems, data Use cases – adaptation, mitigation
Ecosystem approach for traffic management Traffic Management
Decision support systems 3rd party hardware systems
Analytics & Forecasts
Weather & Environment
Reliable sensors
Weather & Environment
2021-09-06
Autonomous driving
Smart City Systems and Digital Platforms
Data collection Security cameras
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Ecosystem – systems integration
Vaisala @ Hypermotion 2021, Erik Sucksdorff
Street lights
Road signs
Systems integration options Cloud-to-cloud integration With traffic management systems and intelligent infrastructure
Vaisala data logger Integration of local subsystems with traffic management systems
Vaisala sensors Direct integration of sensors with traffic management systems
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
3rd party traffic management systems MaaS Journey time Speed limits Signaling TM servers Controls VMS signs
In Summary
▪ To adapt traffic to climate change and support new forms of mobility we need more and more weather data ▪ National road weather station networks are not only for winter maintenance – they are also for traffic management
Air Quality
▪ In-fill stations fill gaps on the road weather station network – especially for cities and municipalities
▪ Environmental traffic management requires a joint approach from many ecosysyem players ▪ You can integrate weather and environmental data from single sensors, weather stations or road weather models Multi-parameter weather
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2022-03-31
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Visit us at stand 05.122
Jens Dickau
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2022-03-31
Petteri Leppänen
Vaisala @ Intertraffic 2022, Erik Sucksdorff
Elina Heed
Paavo Tuovinen
Mike Wall