AI fostered traffic management in China

The United Nations has estimated that by 2040 almost 60% of people are living in cities across the globe and at the same time number of trucks, cars and air kilometres will double and the amount of emissions keep rising. In addition, millions of people and animals are killed in traffic – directly (accidents) and indirectly (emissions).

Solita‘s Account Director Aki Aapaoja writes about AI’s possibilities in traffic management.

Through the ages, traffic congestion has been prevented by building new roads and lanes but more than often it is a temporary cure as it triggers latent traffic aka induced traffic. It is a phenomenon where people decided to travel by car when they otherwise would not have. So basically it is about increased demand i.e., trips caused by increased supply i.e., road capacity.

In recent years, however, there has been more and more discussion that maybe data and data-driven solutions could be cost-efficient as well as long-lasting impacts on making transport greener, more adaptive, and more accessible. Being data-driven or using data doesn’t mean throwing all the existing and working traffic management procedures into the trash can but rather it is about gradual improvements alongside existing ones. Even today, 164 EB (1018) traffic data per month is generated and hence a range of potential use cases for data solutions exists.

Daunted by traffic and congestions

The challenges of transport are global but one of the worst affected countries when it comes to sustainability, congestion, and safety of transportation. Solely in China, there are more than 160 cities over 1 million people and over 254 million registered vehicles. It goes without saying that together urbanisation and motorisation as prevailing trends lead to massive adverse effects like 1500 megatons of CO2 and almost 1 million emissions-related deaths annually. In addition, the congestion is overwhelming – the average Chinese motorist loses nine days a year stuck in traffic. If nothing is done, the future of road transport does not look rosy. Doesn’t it?

Data weaves traffic management together

Together with a Chinese partner, Enjoyor co., we started a joint research pilot at Hangzhou city in Zhejiang province, China. Enjoyor is a leading Chinese traffic management company having annual revenue of over 400 million euros and it is responsible for traffic management in many Chinese cities such as Hangzhou, Fuzhou and Nanchang.

Hangzhou is the home of world-know Alibaba and over 13 million people are living in the metropolitan area, and it is a typical crowded city that is ranked top ten among China’s most congested cities. The first phase of the pilot aims at predicting traffic speeds in different road sections for the next 10-15 minutes in three minutes intervals by using historical data crunched with sophisticated machine learning algorithms. The pilot area consists of 309 road sections and 118 intersections while the used data includes several parameters like road topology, road section speeds, and signalling schemes. Data will be also enriched with traffic and weather incident data.

The overall, long-term objective of the research pilot activities is building enabling capabilities to identify traffic phenomena e.g. congestions in advance through advanced analytics and using the information for managing and optimising traffic at a regional level. Basically, it means that different trigger points indicating the possible emergence of a traffic phenomenon should or could be identified as early as possible.

The thing that makes it both interesting and challenging is the fact that issues impacting the traffic vary over time, their relations are not fixed and there are many of them. Hence, traditional management models are no longer suitable and there is a call for AI-based models which can be continuously updated or update themselves.

AI spiced digital twin with cloud and edge computing

In many cases we highlight the meaning of data, having a crystal clear business case and how important it’s to have tangible outcomes. In some of the cases we just experiment, learn and have a bit of fun. This is exactly that latter case when you have the freedom to play around – why not. We just throw trash to ideas that someone really knows the problem or there is something called business able to understand more than normal human beings. Based on the famous Agile manifesto we could just say we value the unknown more than something we think we know. We as people are sometimes biased, and look at things in a very narrowed way and especially when it comes to traffic – building a digital twin of traffic would be fun?

The challenge to build smart systems has been Conway’s law is an adage stating that organisations design systems that mirror their own communication structure. We are dedicated to trying a model where everyone in the team can time-box a bit of their study and work in parallel and together to vote for winning ideas so we would not be building a “one-size-fits” nobody solution. That was a huge success – in a few days we had already spatial data on visualisations, ongoing data replications going and tiny ML running on the edge. Now comes the interesting part – how to integrate all together for something you might see on PowerPoints as the future-proof architecture?

It’s the communication, team motivation, and keeping things small when possible so it’s easy to adapt. The team chose to use Amazon SageMaker Autopilot that can train and optimise hundreds of models based on these algorithms to find the model that is a good candidate for us. Same time few were working with AWS SageMaker to run machine learning models to find anomalies of data and anything suspicious – and immediately found time series data was fixed (typical on machine learning cases when we lack data). This incorrect way of fixing data resulted in bad models. This was not possible to be detected using any visualisation or typical data engineering tools.

After a few coffee breaks the first data API product was available on AWS serverless API development portal. Taking all this machine learning (EdgeOps) to Edge where resources are very limited can be accomplished using a rule of thumb – keep it very small and simple. Running all interference at Edge will bring few benefits like improved latency, security, and resilience. End of the week we were able to see which parts are common, automate all using AWS CDK and keep only the parts that are really needed to avoid feature creeps.

So did we build a full-blown digital twin? Not yet, and it does not matter. We found relevant feature importances from data assets and we can not wait to proceed on to the next step. Setting up even crazy goals and making experiments using new services from hyper scalers like AWS can be a first step to start something new. We now have rock solid scaleable edge, cloud, and MLOps solutions with few rock-solid models to teach us something new. Technology capabilities are outstanding and on that hype, it’s good to remember that a good team and trust in it is equally important. We encourage you to set your data and machine learning models free!

From tech to business and vice versa

For Solita, V2X is a spearhead project when it comes to holistic industrial internet of things capability development the whole funnel from mobile vehicle (car, truck, ship, machine) or stationary device (process, production) to end-user via cloud system including data pipes, real-time data processing, edge computing, and access control in some cases data farming when source data is not available yet. Technology development is not the main thing, but novelty comes from the collaboration between different people and ecosystems.

Read the original article on Solita’s web page.

New solutions for city logistics tested in Helsinki

In autumn 2021, Helsinki saw various pilot projects both on the ground and in the air. The newest kind of pilot was the delivery of products from a pharmacy to a customer by drone, which took place in late August. In the week-long pilot, products from the Lauttiksen Apteekki pharmacy in the Lauttasaari district were flown on a drone to the Jätkäsaari district.

At the same time, another pilot has brought shared electrically-assisted cargo bikes as an expansion of zero-emission alternatives, as hoped for by the residents of Helsinki. Soon, another ground-based logistics pilot is about to start with autonomous delivery robots bringing packages closer to the customers at virtual drop-off points.

Helsinki also has other ongoing operations to improve logistics through accessibility data.

Read more on testbed.helsinki about the pilots and the partners behind the innovations.

Picture credit: city of Helsinki

50 years of state-of-the-art taximeter services

It has been 50 years since Semel Oy was founded. Known mainly as a taximeter manufacturer, Semel Oy has gone through many business challenges throughout the years. Technology of systems has shifted from analogy to digital, payment systems from offline to online etc.

Today, Semel markets state-of-the-art taximeter services that are world-class. We are a clear market leader in the Nordic countries and the only one to offer equipment as a service. Taximeter-As-A-Service and collaboration with Modulsystem Sweden AB have opened to new businesses for public transport, parking solutions as well as electric car charging services. We will continue to focus on our main perspectives and look forward into a successful future.

Picture credit: Semel

Safer and greener transport with automated driving – how to find the right solution?

Automated driving can offer safer, cost-efficient and sustainable solutions to transportation needs in remote locations, extreme weather conditions and situations where it’s simply not necessary to have people sitting behind the wheel. Humans are great at problem solving and creative thinking but perform poorly at repetitive tasks – let’s focus on what we do best and let automation take care of the rest.

Automated driving is a thing of today

While visionaries have dreamed up self-driving cars since the 1920’s, the technology is now catching up and making it possible to turn those dreams into reality. Thanks to trend-setters like Google and Tesla, automated driving has entered the public consciousness in a big way in the past ten years.

“Electronics and software are the thing that creates value in cars these days, not the mechanical parts,” says Pertti Peussa, Principal Scientist at VTT.

Automated driving can offer a helping hand in making a business more profitable and sustainable. It can also make work safer and more efficient by enabling self-driving vehicles to handle transportation in remote locations and challenging weather conditions. Good applications for automated driving include factories, production sites, and last-mile solutions at airports and suburbs, where routes are repetitive and basically require no human problem solving to get the job done.

And there’s never been a better time to get involved – the interest around automated driving has meant increases in funding for research and development, which in turn has accelerated the progress of technology and brought new players into the field. Those interested in utilising self-driving vehicles in their operations have more options to choose from than ever; it’s become a matter of finding the right solution for your needs.

More efficient, meaningful work

Until now, transporting goods and people from A to B has required someone to be at the wheel, braving repetitive work shifts and at times poor driving conditions. Automation can bring much-needed relief here, allowing people to focus on tasks that really require a human to tackle them.

The Stora Enso-operated Uimaharju mill in Joensuu has been experimenting with an automated truck that transports wood chips from the sawmill to the pulp mill. “This frees up the driver’s time for other, more complex and supervisory tasks,” explains Peussa. Automation also makes the repetitive truck journey safer by eliminating the element of human error, and more environmentally friendly by fuel-economical driving and route selection.

Finding the right solution for you

With a whole host of automated and autonomous driving solutions to choose from, it can be hard to figure out what the next step should be for your specific needs. VTT is an independent, impartial institution dedicated to long-term research and development, and offer their expertise in the field of automatic vehicles to clients at all stages of their automation journey.

“Automated driving being still such a novel thing, many of our clients had a hard time figuring out where to get started,” says Matti Kutila, Research Team Leader at VTT. “We came up with an offering that helps them begin their journey and ask the right questions.”

Once you have figured out what your needs are, the next step is finding a solution that fits them. “We can help our clients take a quick and easy first step towards automated driving with our services,” says Peussa. “By prototyping what changes would need to be made to the client’s existing vehicles, we can offer companies that first spark of hey, this actually works.” This allows companies to try things out before committing to big purchases or getting locked into a particular technology.

Developed and tested in the changeable Finnish weather, VTT RobotDrive software pool offers robust, proven solutions for operating in remote locations and harsh Arctic conditions. VTT RobotDrive enables better, more reliable automated driving and in many cases can complement your existing technology, so there’s no need to start over completely.

If you’re further along in your automation journey, VTT’s experts can provide validation, safety analysis and  impartial assessment documentation  to help you to get your prototype accepted by your customer, or approved by authority.

“We are an impartial organisation with no ties to any particular car manufacturers or contractors,” says Kutila. “However, we’re happy to collaborate with everyone, and we have great networks all over Europe thanks to co-funded projects we’ve been a part of.”

Where will your journey take you?

Automated driving is what’s next in sustainable, profitable transportation. Whether your automation journey is already well underway, or you are still figuring out your roadmap for getting started, the right solutions are waiting out there. There are plenty of benefits to be reaped from automation, from the safety of workers to the efficiency of your operation.

Read the original article on VTT’s web page.

Digital twins open a new world for urban development

The automatic traffic test area in Hervanta, Tampere, is an example of the future of urban development. The digital twin of Hervanta is a versatile and user-friendly service design tool.

Just one click and you are there: On the screen, you have a bird’s-eye view of a 3D model of Hervanta, a suburb of Tampere. When you scroll closer to the streets, you will be surprised how detailed the model is. All the traffic signs and bus stops are in place and the weather conditions are realistic. Another click and you are inside a car. You can drive the car around the model and activate various data streams that you might find useful.

In the near future, services created by using digital twins will become a more normal part of urban life.

A digital twin is like an ever-growing and developing sandbox for urban developers to play in. It is a framework for real-life services. In the near future, services created by using digital twins will become a more normal part of urban life. Their global market value is increasing at dazzling speed – even the most conservative estimates predict that the market value will increase tenfold over the next five years.

Finnish developers have also jumped on this bandwagon. In addition to the tests in Tampere, digital twins have been utilised in urban development in Helsinki and Oulu. In Oulu, Sitowise created an accurate model of the city port.

Digital modelling is not exactly a new phenomenon. Digital twins have been used in shipbuilding and designing of factory production lines for several years. Now urban development has adopted the technology. Thanks to cities creating 3D models of urban spaces, visual digital twins have become more accessible and less cumbersome tool of urban development. In Hervanta, the model is being used for training automated vehicles, for example.

Automated vehicles take digital driving lessons

Tramway traffic operation will begin in Tampere in August 2021. There are plans to introduce driverless vehicles to assist tramway feeder traffic. These vehicles would transport people to tramway stops.  The vehicles would operate in an area of about one square kilometre around the Ahvenisjärvi lake. In this case, the digital twin is a platform for teaching vehicles to move safely around the area.

The pilot project is linked to a larger European project called SHOW (SHared automation Operating models for Worldwide adoption). The project pilots automatic traffic solutions. Sitowise is acting as the Finnish coordinator of SHOW. The City of Tampere supports the development of smart mobility strongly, and all their projects benefit each other.

To a user, the digital twin of Hervanta created by Sitowise looks like a combination of several visualised data streams and pleasing graphics. This is not the first digital twin created of Tampere. 3D simulation of urban spaces have been used for training tram drivers, for example.

– Digital twins have been utilised in Tampere for a few years now. All the new areas in the city centre have already been modelled. For example, the locations of buildings under development can be viewed digitally before construction has even begun. This makes urban development easier, says Jari Ikonen from Business Tampere.

In order to provide reliable support for ambitious projects such as training driverless cars, digital twins must meet high quality standards and depict the real word as accurately as possible. VTT Technical Research Centre of Finland played a key role in the project. VTT modelled unnoticeable but important objects, such as traffic signs and bus stops, and measured the coverage of a 5G test network in the area.

– In the Hervanta project, the accuracy of the model was, at best, as close as 10 centimetres. This helped us ensure that the model’s traffic signs and public transport stops took exactly the same amount of space as they take in real life, says Automated Vehicle Scientist Kimmo Kauvo from VTT.

Sensors and growing data streams support development

Over the past few years, digital twins have been introduced in urban development along with several significant technological leaps. The current level of 3D modelling, availability and amount of sensor data and standardisation of important technologies make utilising digital models easier than ever before.

– Telecommunication networks are now so fast that they allow almost real-time utilisation of sensor data. The City of Tampere is a pioneer in making city interfaces accessible and piloting new services. For example, anyone can access the city’s traffic light data if they are interested, says Riihentupa.

Game engines have also become more useful tools of urban development.

– The digital twin of Hervanta was created using a Unity game engine, which works well for projects of this scale. The rapid development of game engines has helped digital twins become more common in the field, says Technical advisor Niko Moreira at Sitowise.

Sitowise has a extensive expertise in field of digital twins, both accumulated from previous projects and constantly evolving. Elena Lassila, junior advisor at Sitowise who was involved in the project, is currently doing her master’s thesis on the topic. The actual digital twin exists in Sitowise’s virtual environment AURA. All the data generated via modelling and measuring is easily visualised and utilised in this virtual environment. Other people will also be able to benefit from the final product. The 3D model created through the digital twin will be released to the public.

This project clearly serves general interests. Here at Sitowise, our goal is to promote open digitality and apply it to different business models as widely as possible. – The digital twin of Hervanta is laying the foundations for countless of end uses that utilise the digitalisation of new urban spaces, Moreira adds.

Watch the video of the automated traffic test area digital twin:

Picture credit: Sitowise

 

Using data to control traffic emissions in Vaasa

The City of Vaasa aims to reach carbon neutrality by the end of the 2020s. The target is tough – carbon emissions must be cut considerably and rapidly. With the recently launched Vaasa Traffic 202x project, the City of Vaasa, in collaboration with Ramboll, is developing a new tool to support climate management.

The Vaasa Traffic 202x project aims to produce up-to-date information concerning developments in transport performance and carbon emissions in the city of Vaasa. It also aims to lead design work and measures so that the ambitious carbon emission goals are achievable.

In Vaasa, carbon emissions have decreased by about 30 percent between 2011 and 2019, the most significant reductions coming from electricity consumption and district heating. The biggest challenge is in road transport, where emissions have fallen by only 10 percent over the same period.

– The Vaasa Traffic 202x project is very important for the city’s carbon neutrality goals. Presumably, the development of vehicle technology will provide some of the required emission reductions, but at the moment, no one can say whether the car fleet is being renewed fast enough or what measures are needed to increase the popularity of walking, cycling and public transport, says Jukka Talvi, Municipal Technology Director in Vaasa.

– With the help of the tool that is now being developed, we will study various scenarios to achieve the goal and implement a system that can be used to monitor developments. Another important aspect is making the emissions target visible to every Vaasa resident, Talvi continues.

The strategic traffic modelling utilised in the project aims to depict the effects of various land use and transport planning projects on future volumes of traffic, the use of different modes of transport and CO2 emissions.

– The development project with the City of Vaasa is interesting for many reasons. The project fits well with Ramboll’s commitment to lead the way in sustainable development solutions. On the other hand, combining real-time data sources with strategic traffic modelling is an interesting development target that will enable new applications in the future, says Teemu Sihvola, Ramboll’s project manager.

Because of its accuracy, the BRUTUS traffic demand simulation model developed by Ramboll is very suitable for modelling sustainable modes of transport. The individual nature of the model allows the impact to be assessed in terms of socio-economic factors.

The project, funded by the Ministry of the Environment, is being implemented as a joint development project between the City of Vaasa and Ramboll, which is also co-financing the project. In the project, both new technology and a product with international novelty value are being developed. The monitoring group also includes parties from other parts of Finland.

Picture credit: Chrisfoffer Björklund:

Port app that collates schedule data heading towards international cooperation

Did you know that a flurry of activity starts around a ship as soon as it arrives in port? Cargo is loaded and unloaded, any required maintenance work is carried out, and the ship’s basic needs – such as waste management, fuel and provisions – are taken care of. For passenger ships, the disembarking of both passengers and vehicles must also be coordinated alongside all these other activities. But what happens at the port when a ship is late?

If a ship arrives five hours late at a different location than agreed, operators face multiple challenges. Schedule data has not previously been available in real time from a single source. Instead, it has been provided to all of the various operators by phone, in messages, and through several different systems. Port Activity is an app that has been developed to solve this problem. It seeks to improve information flow between the various stakeholders operating at ports, in order to enable the most efficient and economical port visits possible.

“The pilot version of Port Activity was developed in cooperation with the Ports of Rauma and Gävle. However, we quickly noticed that there’s high demand for this kind of service, as the app started spreading to other ports on a market-driven basis,” says Olli Soininen, Project Manager at Fintraffic VTS.

Ingredients for international cooperation

More than ten Finnish ports have already signed up to use Port Activity, and it is also being used in Sweden. The Baltic Sea is one of the world’s busiest shipping areas, with more than 2,500 vessels on the move around the clock. Every year, 17 per cent of all global maritime transport passes through its ports. The aim is to encourage other countries around the Baltic Sea to start using the app, before sailing on into global waters.

“By sharing schedule data, and thereby making ports more efficient, the app can generate considerable savings in terms of both money and emissions.  This definitely has the ingredients for international cooperation,” says Soininen.

The port app was born as part of the EU-funded STM EfficientFlow project, which sought to create new tools to streamline maritime transport, improve safety and reduce emissions by utilising modern data and information sharing. The project’s closing seminar was held at the beginning of June, and Port Activity will now continue on its own journey to promote more efficient port visits.

Port operators’ schedule data in one place

The real-time sharing of schedule data boosts the efficiency of the entire logistics chain. The app collects schedule data on the port’s various stakeholders from a number of different systems in real time and then collates it in one place. It informs users of any potential schedule changes. This enables everyone to keep fully abreast of the situation, so they can plan their own schedules accordingly.

“If the app informs a transport company that the ship won’t make it to port that day after all, the driver won’t need to wait around and spend the night at the port. Instead, the driver can arrange to come back later, when the ship is actually arriving,” says Soininen.

The app works both ways, meaning that not only the ship but also other users can report their schedule information in real time. For example, if a waste management vehicle has broken down on the way and its replacement will be a little late, others will be able to prepare for this.

App can be customised for each port

Port Activity is an open source app, which means that ports can customise it to meet their own needs in cooperation with their chosen development partner. This will help promote internationalisation, as although port operations are often fairly similar the world over, there are national requirements that can be taken into account in the app. Ports have already been actively developing the service. An SaaS-based version of the app that is already in use in Finland is now scheduled to be launched in Sweden during autumn 2021.

A mobile and desktop version of the port app have been created, making it easy to use both in the office and in the field. The results of the pilot project indicated that it was the right time to go digital.

“Phones are the most important tools for many port operators. It was therefore important for the app to be as easy to use as possible on mobile devices. Now you can check, edit and inform others about schedule data with just a couple of clicks,” says Soininen.

Fintraffic VTS’ mission is not only to improve the safety of shipping, but also to promote smooth and efficient vessel traffic. Port Activity is a good example of a service in which these smoothness and efficiency goals can be mobilised on a broad front with the aid of evolving digitalisation.

Read the original article to learn more.

Mobility innovation and development center CEVT partners up with Kaira Clan in Oulu, Finland

Since the middle of 2018, CEVT (China Euro Vehicle Technology AB) has been active in the vibrant start-up ecosystem of Oulu. At the beginning of 2020, a test-car was dispatched in Oulu to increase the possibilities to collaborate and recently the test-car has been upgraded and CEVT will now take the next step. Up until today, CEVT has had great support from Business Oulu to scout and organize events in Oulu, and now we would like to announce the additional collaboration with a very innovative and agile company, Kaira Clan.

“Through what we call open innovation we want to explore what happens if we create a co-creation culture and combine two vibrant high-tech ecosystems – Israel, and Finland. We also have a test-car in Tel Aviv, Israel. Three different cultures, two world-leading innovation hubs with CEVT in the middle as a facilitator, enabler and a way into the mobility market. Win-win!” – Peter Stavered, Head of Innovation at CEVT

“Our goal as facilitators for the Oulu based CEVT Innovation Hub, is to offer Finnish startups and innovation research companies a clear path for the productization of their solutions in the automotive industry.” –Janne Siltari, Kaira Clan Chairman

Kaira Clan will provide educational content, mentoring, and best practices through lectures, master lessons, workshops, webinars, and other supporting services such as rapid prototyping. The focus for the talents will be to push their ideas from their earliest stages, all the way to market readiness.

“We are proud to see Kaira Clan get recognition for the way we innovate and build solutions. We feel it is important to encourage the collaboration of SM Es, large enterprises, and local ecosystems. This collaboration with CEVT Innovation Center will benefit the existing Kaira Clan innovation lab network as well as the local community, businesses, and future startups.” –Tero Blomqvist, Kaira Clan CEO

“Opening of CEVT’s innovation hub in Oulu marks a new milestone in our collaboration which started already in 2018. Companies and researchers in Oulu have globally unique expertise in radio technologies, printed electronics, embedded software, loT solutions and 6G research. We are looking forward to creating new and sustainable solutions for future mobility with CEVT. ” states Juha Ala-Mursula, Director of BusinessOulu.

The innovation center will offer even more possibilities to Oulu. “I’m especially proud to see another significant international company set foot in Oulu and see the possibilities we have to offer. The CEVT Innovation Hub will offer local companies and startups a great opportunity.” –Päivi Laajala, Mayor of Oulu

Get to know more about Kaira Clan and CEVT by reading the original article.

New information on the impacts of teleworking and new transport services on greenhouse gas emissions

Ramboll have co-ordinated studies on the impacts of teleworking and new transport services on greenhouse gas emissions as the part of the implementation of the Roadmap for Fossil-Free Transport, the aim of which is to help achieve the Finnish government’s pledge to halve greenhouse gas emissions from domestic transport by 2030.

The studies, part of the implementation of the Roadmap for Fossil-Free Transport, were completed under the co-ordination of the Ministry of Transport and Communications. According to the studies, teleworking could, on an annual basis, reduce emissions by up to 0.125 megatonnes and transport services by 0.080 megatonnes by 2030. The results obtained in the various studies partly overlap, so the combined CO2 reduction potential of teleworking and transport services is not necessarily the sum of these results.

The impact of telework on emissions is moderate

According to the study, the impact of telework on greenhouse gas emissions from transport is moderate. Owing to the increase in teleworking, CO2 emissions from passenger cars would decrease by a maximum of about 0.125 megatonnes per year by 2030. In the longer term, the lower emissions from the car stock will reduce the impact of telework. By 2045, the increased teleworking could at best achieve an emission reduction of about 0.082 megatonnes. According to this forecast, the number of teleworkers will be 577,000 in 2030 and 582,000 in 2045.

In 2019, there were about 357,000 teleworkers in Finland. During the coronavirus pandemic in 2020, the number of teleworkers rose to approximately 790,000. This number is estimated to be the maximum achievable figure with the current regional and employment structures. According to the study, teleworking is becoming more common independent of the encouragement from the central or local government.

Services leading to lower car ownership reduce emissions

According to the study, the emission reduction potential of transport services in 2030 will be relatively small, approximately 0.080 megatonnes. For the purposes of this study, transport services were defined as services for sharing and renting cars and other vehicles, as well as taxis and public transport. Further in the future, the emission reduction could be significantly higher by 2045, up to as much as 0.580 megatonnes.

The main explanation for the reduction in emissions is the reduction in car ownership. In the long run, autonomous transport and the widespread use of demand-responsive transport will also reduce emissions. If the proportion of e-vehicles used in transport services grows faster than car ownership, the greater use of transport services could reduce greenhouse gas emissions from transport even more than the above estimates suggest.

– Challenges to the study were brought about by the fact that data related to new transport services are not yet sufficiently available for modeling purposes. Due to this, changes in car-ownership, for example, could not be modeled, says Teemu Sihvola from Ramboll.

– The project was interesting, and we were able to utilize Ramboll’s extensive experience in using the national traffic model, as well as an understanding of the forms and effects of new mobility service. There will certainly be a need for methodologies used and developed in the project in the future, as the transport servitization will gain momentum in one form or another.

Picture credit: Ramboll

TIER and Moovit join forces across Europe

Moovit will show users where TIER scooters are available nearby, in real-time, for more convenient first and last-mile options

Moovit, an Intel company, a leading Mobility as a Service (MaaS) solutions provider and creator of the #1 urban mobility app, and TIER, a leading European shared micromobility provider, are announcing a partnership that offers users more convenient first and last mile options. With a shared vision to get more cars off the road, Moovit will show users where nearby TIER scooters are available in real-time in 77 cities across 13 countries including Finland.

Alternative transport modes and micro-mobility made accessible

As more COVID restrictions lift and traffic increases once again in many European countries, offering more alternative travel options will help riders save time getting to their destination and reduce the need for a private car for first and last-mile journeys. About one out of three TIER riders predominantly uses e-scooters during the week for commuting or running personal appointments and almost half of TIER users take e-scooters as a first-/last- mile solution, combining it with other modalities. However, many people still drive their car to connect with main transport hubs.

Moovit, which has served over 1 billion urban users around the world in 112 countries, offers its service in over 1,500 cities across Europe and the Middle East, and TIER, which recently launched in its 100th city — will enable Moovit users to embrace multi-modality and discover TIER scooters in the Moovit app to better connect with public transport. Moovit will show its users in real-time where a TIER scooter is available nearby, including how long it will take to walk there, as well as battery range.

Offering more alternative forms of transport that can easily get people to their destination is a critical component of any Mobility as a Service platform,” said Yovav Meydad, Moovit’s Chief of Growth and Marketing Officer. “That’s why we are excited to partner with TIER and empower riders to more easily combine micromobility with public transport to enjoy the most efficient ways of getting around some of the most congested cities in the world.”

Our mission to change mobility for good is largely about creating strong partnerships to expand everyone’s access to sustainable, easily accessible and multimodal mobility solutions,” says Tinia Mühlfenzl, Director of Market Development at TIER. “Teaming up with a leading MaaS solutions provider will allow us to expand access to our micro-mobility services in many cities across Europe and the Middle East.

Read more about the partnership between TIER and Moovit on TIER’s press release.