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AuRa Project Magdeburg: When the Cargo Bike Drives Autonomously

The Otto-von-Guericke University Magdeburg is researching how autonomous driving can also be realized with cargo bikes, with a wide range of uses from sharing to delivery services. In the "AuRa - Autonomous Bike" project, a self-driving bike-sharing system was tested. The follow-up project aims to further advance these efforts - and also the market readiness of robo-cargobikes.

One can also quickly order a robo-bike and have the goods "chauffeured" home. | Photo: OVGU/jana Dünnhaupt
One can also quickly order a robo-bike and have the goods "chauffeured" home. | Photo: OVGU/jana Dünnhaupt
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von Johannes Reichel

The extent to which cargo bikes can also be operated autonomously was investigated by the Otto-von-Guericke University in Magdeburg in a three-year project. The research project AuRa (Autonomous Bike), funded with more than four million euros from EU funds and the state of Saxony-Anhalt, was completed in mid-September 2022, with a follow-up project running until the end of 2023. An interdisciplinary team of students and scientists from the fields of mechanical engineering, environmental psychology, computer science, and logistics participated. Five prototypes were built to demonstrate how cargo bikes can also move autonomously and safely. Like automobiles, the bikes were equipped with numerous sensors and actuators, but they are still usable as bikes.

Ideally, the autonomous bike would navigate sidewalks and bike paths to the desired position. This was done under SAE Level 4, which is defined for automated driving as "fully automated driving". When the AuRa is with the user, it is unlocked via an app, and the user drives manually (in SAE Level 0), assisted by an electric motor, like an e-bike to the destination. Once there, the user can release the AuRa, and it autonomously drives to the next task, as described by the developers. The navigation is based on bike paths and of course on the basis of traffic regulations.

Like with autonomous cars: Camera and lidar onboard

By September 2022, the prototypes had covered over 1,000 kilometers in test drives in confined areas to collect data. Equipped with camera and lidar sensors, the bikes operated truly autonomously. The tested scenarios included crossing a street, obstacles on footpaths or bike paths, and turning at an intersection. The researchers surveyed the opinions of passersby and potential users. Foundational work was done not only with the construction of autonomous cargo bikes but also with accompanying research on operational, legal, and psychological questions. For example, the acceptance analysis, conducted among other things in the test lab using a 3D model of city traffic in Magdeburg, showed that people view the topic positively and do not consider a bike without a rider as threatening. A logistics team also simulated how the new mobility offering could be utilized in Magdeburg and how different operating modes, service areas, and fleet sizes could affect availability or cost-effectiveness.

Street Approval May Still Take Time

Despite the significant findings, street approval could still take some time. Project leader Prof. Stephan Schmidt believes the system could be used outside the campus in the city in about seven years at best. Condition: The technology needs to become smaller, lighter, and more cost-effective. As with automobiles, the legal situation also plays a role. Currently, a human must still be able to intervene at any time. Magdeburg's Mayor also pointed out that there are currently not enough parking spaces for cargo bikes in the city.

Follow-up Project: Autonomous Micromobiles as a Goal

At least there is follow-up funding from state funds, initially until the end of 2023. An apt name: AuRa Brain. Because the new project phase aims to develop a standardized "brain" for the autonomously driving bikes. Moreover, the focus will be on examining the use and application in last-mile logistics. Tom Assmann from the university aims to soon test a prototype under real conditions in Magdeburg's city traffic. Corporate partners will help the autonomous cargo bikes reach market maturity as quickly as possible.

Background: Autonomous Cars are Actually Unsuitable

Cities worldwide, especially in Europe, are under enormous pressure to change. Urban areas must make their traffic CO2-neutral in the medium term, researchers explain the background of the follow-up project. New paradigms, such as the 15-minute city, fundamentally change the nature of mobility and how public space is allocated in cities, the scientists explain. Ideally, future streets would be characterized by playing children and become a meeting point for people, additionally designed to meet the needs of "weaker" road users. Examples such as shared spaces in Germany, Superblocks in Barcelona, car-free city center in Madrid, and 70 percent bike share in Groningen clearly show: The development towards people-centric streets is happening. E-scooters, hoverboards, booming e-bike sales, and annually doubling cargo bike sales clearly indicate that city traffic will become significantly more digital and micromobile in the future, argue the researchers around Assmann.

"The currently developed autonomous cars and their conventional approaches to implementing autonomous driving are not suitable for this future of the city. Cars and robotaxis are simply too large, heavy, and cumbersome. The route planning mechanisms so far assume (empty) roads with strict lane separation and directed traffic, where pedestrians are considered obstacles rather than equal road users. Thus, current approaches lead to the Frozen Robot Problem - Autonomous cars stop in unstructured traffic spaces and do not move or only very slowly," the researchers outlined the situation.

For micromobiles, which can better adapt to people-centric streets due to significantly lower mass, speed, and size, there are currently no adequate solutions. This was the aim of the project. The solution consists of autonomous driving functions designed for peaceful coexistence and risk-minimized driving.

"The AuRa Brain maps this and can be installed as a module on various micromobiles, allowing them to drive autonomously in unstructured traffic spaces. This creates the universal autonomy solution for the growing micromobility market," the researchers outlined.

Translated automatically from German.
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