Trends and innovations
    The future of mobility is shifting to environmental-friendly, connected, autonomous, and personalised commute. To stay on top of the mobility industry trends, manufacturers explore ways to create smart automated vehicles. Building vehicles for the future, from autonomous, connected, electric, or hybrid models, require cutting-edge technology and processes. Tools like big data and concepts like shared mobility have become an important part of building a smart city andcontribute to decarbonisation goals. In addition, newer trends such as large-scale electrification and mixed reality (MR) also find numerous applications in the mobility industry.

Impact Of Mobility Industry Trends
    Working on developing new autonomous and connected vehicles that will increase the efficiency and reliability of mobility. Large-scale adoption of electric mobility is set to play a key role in countries’ decarbonising their economies. The use of Artificial Intelligence (AI) and solutions such as micromobility aim to ease the pressure on urban roads by managing traffic congestion.
    The increasing use of mobility solutions also prompts the development of smart infrastructure to provide charging stations and other connectivity technologies. These mobility industry trends further see the growth of AR-based services as well as additive manufacturing of whole vehicles or parts.

Autonomous Mobility
    Autonomous driving technology has always been one of the most promising areas within the mobility industry and it continues to grow. This top mobility trend aims to minimise human negligence and errors to create safer roads. Comprehensive AI algorithms now take over the task of driving with advanced driver assistance systems (ADAS) to push the industry towards level-5 autonomous vehicles. Fleets of AVs expand the scope of first- and last-mile commute and make public transportation safer and more efficient. Artificial intelligence, combined with smart sensors, accelerate advancements in the mobility industry.
    Developing advanced sensing technology for autonomous vehicles. Trieye uses complementary metal-oxide-semiconductor (CMOS) image sensors that enable shortwave infrared (SWIR) capabilities. The semiconductor-based design enables the low-cost scalability of sensing technologies and SWIR image data, further allowing for visualisation at night and in all weather conditions. The short-wave infrared cameras potentially improve driver monitoring systems and offer more insightful image data. Further, uses existing Artificial Intelligence (AI) algorithms to solve the low-visibility challenges that AVs and ADAS currently face.

Internet of Things (IoT)
    Vehicles exchange data with a central hub, as well as each other, through cellular, WiFi, and satellite communications. Previously, IoT was mostly used for entertainment and convenience but recently the focus is shifting to maintenance and safety functionalities. There are various ways to enable connectivity in mobility, for example, “built-in” with embedded OEM solutions or “brought-in” with smartphone-based apps. IoT connectivity enables easy tracking of vehicular data for various use cases such as insurance, driver safety, predictive maintenance, and fleet management. Sharing vehicular data helps not just the individual customer but overhauls the entire mobility ecosystem.
    A platform for an interconnected network of vehicles. The solution serves individuals and businesses to monitor, track, tune, and diagnose vehicle issues. The Gluon platform uses IoT, cloud technology, AI, and Blockchain to connect automobiles with each other. Customers self-diagnose their vehicles, schedule repairs, tune their vehicles for optimal performance, and regulate their usage metrics. In addition to traditional forms of payments, Gluon also offers businesses the flexibility and security of paying with or receiving cryptocurrency payments. For this, issues its own utility token for consumers to use within the platform or through any third party that accepts it.

Electric Mobility
    To accelerate the growth of e-mobility and promote sustainable mobility, advances have to be spurred in electric drive solutions, EV charging, and infrastructure, as well as data analytics and security. Despite the numerous benefits of electric vehicles to the environment, there still remain many hurdles for their adoption, especially with the ongoing COVID-19 pandemic. Globally developing solutions to enable the widespread adoption of EVs by providing efficient batteries and charging infrastructure. At the same time, emerging companies are manufacturing electric vehicles of all sizes to streamline the logistics sector and reduce harmful emissions.
    An all-electric pickup truck. The truck, EnduranceTM, is designed to be a sturdy work vehicle with fewer moving parts compared to traditional commercial vehicles. The pickup features a 4-hub electric motor to provide a four-wheel drive and is capable of traveling more than 250 miles (400 km) on a single charge. The truck features a hub motor, incorporated into the hub of a wheel, and also directly controls the drive. They provide integrated software monitoring and adjusts each wheel every millisecond to optimise performance, range, efficiency, and battery pack performance. The telematics system provides a wide array of data for then improving fleet management.

    Integrating various modes of transportation into a single mobility service presents a user-centric approach to mobility. Mobility-as-a-Service offers value-added services through the use of a single application to adopt and maintain a user-centric approach. Customers use a sole payment channel instead of multiple ticketing and payment operations, allowing for convenience and efficient planning. MaaS also introduces new business models to operate different transport options, reduce congestion and remove capacity constraints. Among the multiple benefits that MaaS offers, easy route planning and simplified payments are the keys that make this an emerging mobility trend.
    A shared mobility platform. Cartrek offers hardware and information technology (IT)-systems for car rental, as well as car and bike-sharing. They provides an automated process for renting cars through hardware installed into the cars. The supporting software further allows customers to make real-time reservations and access global positioning system (GPS) route data. Additionally, the platform serves as a fleet management tool to remotely manage the status of vehicles. The car rental software provides tracking and telemetry to business owners to enable real-time car rental management.

    Micromobility is gradually gaining in popularity across the world for its convenience and environmental benefits. It is a powerful tool to tackle vehicular greenhouse gas (GHG) emissions and increase access to cheap transportation. Micromobility solutions are also fuel-efficient and do not use fossil fuel-based energy. Bicycles, which are conventionally popular for urban commuting, also help solve the first and last mile commute & delivery challenges. But e-bikes, being lightweight and faster than bicycles, are attracting more city-dwellers to switch to a more convenient form of daily commuting.
    Providing electric two-wheelers to reduce traffic congestion conditions in urban cities. The Yulu App uses machine learning (ML) algorithms to efficiently manage vehicle demand and supply. The solution features dockless electric vehicles powered by IoT technologies. In particular, they offers Miracle and Move, two micromobility options that are powered by GPS, general packet radio service (GPRS), and Bluetooth technologies to offer a safe ride in urban areas. The bikes have a maximum speed of 25 km per hour.

Artificial Intelligence
    Artificial intelligence is gaining in functionality and applicability with the refinement of machine learning (ML) algorithms. AI creates new applications in the mobility industry with robotic automation and advanced data analytics. Particularly, AI is the base for level-4 and level-5 autonomous driving, image recognition, predictive maintenance, and in-vehicle experiences. These solutions guide self-driving cars, manage fleets, assist drivers to improve safety and improve services such as vehicle inspection or insurance. AI also finds applications in automotive manufacturing, where it accelerates the rate of production and helps reduce costs. As in many other industries, AI is also part of the top mobility industry trends.
    German Autolabs offers a digital AI assistant with advanced natural language capabilities, as well as gesture recognition technology, for drivers. In addition, they develops an AI-powered voice assistance platform for fleet management. The platform features an over-the-air (OTA) updateable digital assistance service for original equipment manufacturers (OEMs) and Tier 1 companies. This solution is useful for global fleets and manufacturers to augment their drivers with voice assistance, helping parcel fulfillment specialists and long-haul logistics, as well as mobile sales and service teams.

Smart Infrastructure
    Smart infrastructure is widely acknowledged as the foundation for building smart cities. It extends not only to smart roads, automated parking, and IoT but also to all the various signals and signs along the roadside that provide information to drivers and AVs. AI-based driving systems utilise a broad range of advanced sensors to understand their environment and make data-driven decisions. For example, sensors factor in road signs and other visual information to make an optimal driving decision. Developing many solutions for smart infrastructure and smart roads to enable vehicles to communicate with their environment and reduce the burden on drivers.
    Digitally mapping every street online. StreetSense’s platform senses various aspects of transportation infrastructure using transport networks, as well as the flow of people and goods through the networks. They manufactures a device to continuously monitor traffic and road surface conditions. Each StreetSense device contains five sensors, namely a magnetometer, an accelerometer, two temperature sensors, and an electric conductivity meter. A power bank is also attached to the device with the potential of collecting and transmitting live data for up to 3 years. The device makes use of IoT connections for data transfer and utilises minimal energy.

Big Data & Analytics
    The mobility sector continuously generates a significant amount of data. Curating, comprehending, and generating insights from such unstructured data is critical to succeeding in the fast-paced mobility industry. Big data analytics and AI enable developing data processing and analysis solutions to manage and understand large volumes of data. This helps mobility with fleet management, predictive maintenance, as well as monitoring and tracking of vehicle data. For example, big data provides the necessary real-time data and support to companies providing a platform for road safety and management.
    Developing a comprehensive data collection and analytics tool for road quality monitoring performed by both the public and private sectors. They leverages globally-available vehicle data and in-vehicle sensors, as well as earth observation satellite data, to create a big data pool. RoadEO makes this possible by generating, combining, and processing novel data sources. The data infrastructure arranges the analysis and interpretation using AI for enabling predictive road maintenance and quality monitoring. As a result, the big data solution improves road safety and rider comfort in urban areas. 

Augmented & Virtual Reality (AR/VR)
    A big challenge for the mobility industry is reducing road accidents due to human negligence. Developing AR solutions to restrict the number of distractions for a driver. For example, heads-up displays (HUDs) limit the attention of drivers from their dashboards to their windshields by providing the required information on their windshields. AR-based applications also allow automotive companies to provide simulations when the customers or cars are not present in a showroom. These applications improve customer experiences by allowing car owners to remotely inspect their cars. Also work on AR/VR solutions to ease the complications encountered by a technician during maintenance.
    Holoride changes everyday journeys by combining car data and XR. They develops a dynamic backseat VR experience that matches the movement of the car using car sensor data. Holoride uses XR, IoT, and AI to create an elevated in-vehicle experience. All visual impressions are supported by real-time physical feedback of the vehicle and things a traveler sees get more intense and immersive. Additionally, the technology uses navigational data of travel route and time, combining this with vehicle data.

3D Printing
    Companies are providing 3D printing services for creating various automotive parts. Additive manufacturing with different materials also allows for designing versatile components and spare parts. These include materials that possess a variety of properties like elasticity, conductivity, and heat resistance, all of which have automotive applications. Automotive companies use prototyping of parts or full-scale designs for multiple purposes, including for testing forms and shapes. 3D printing of such prototypes involves considerably lower costs than actually fabricating the design. This opens new opportunities to test new material combinations with low-cost multiple iterations, thus enabling rapid prototyping.
    Upwego offers an online solution to design a car based on customer preferences. It prints car components according to its use-case, rather than focusing on manufacturability. They aims to print seats, body, dash, center console, and hood for mobility manufacturers. Upwego provides possible variations of a certain design, that can be printed at once, to determine the most functional design.