BMW: Autonomous Driving and Connected Mobility for Intelligent Traffic
From Autonomous Vehicle & ADAS Japan 2017
2017/08/07
- Summary
- Connected Mobility Lab launched in Bayern, Germany
- bIoTope project aims to improve life in the city
- Building a System of Systems
- Integrating bIoTope, traffic management, and autonomous driving to achieve intelligent traffic
Summary
In May 2017 the "Autonomous Vehicle & ADAS Japan 2017" exposition was held in Tokyo. This report covers a speech titled "Automated and Connected Mobility for Intelligent Traffic Management," given by Mr. Lutz Rothhardt, Development Japan Director, BMW Japan Corp. at the conference.
The presentation laid out BMW's plans to solve issues of urban mobility including air pollution and traffic congestion with autonomous vehicles and connected mobility.
In the first half of the speech, Mr. Rothhardt introduced two "Smart City" projects that BMW is participating in. The first project is the company's "Connected Mobility Lab" in Bayern, Germany. It was established with the aim to build an open platform and provide an efficient and comprehensive mobility service that covers public transportation, vehicles, and parking systems.
The second is the "bIoTope (Building an IoT Open Innovation Ecosystem for Connected Smart Objects)" Project, which was sponsored by the EU with the aim of creating an environmentally friendly, safe, and pleasant city of the future. Although many systems that correspond with this goal are already online, these are isolated from each other like "vertical silos," and run within their respective applications. The aim of this project is to connect the vertical silos horizontally in order to build a more comprehensive "System of Systems" platform.
Mr. Rothhardt also introduced "Traffic Management 2.0," which is being implemented in Germany with BMW's involvement. A task force is examining how traffic management authorities of municipal governments and service providers like TOMTOM can cooperate in order to provide optimal route information.
Finally, even with the promulgation of efficient systems like this, it was pointed out that, with human drivers each trying to arrive at their individual destinations in the shortest time possible, the efficiency of the transportation system as a whole could worsen. Autonomous vehicles that will be realized in the near future will become assistants "able to think on their own" rather than only performing autonomous driving. Having vehicles that understand surrounding conditions and the purposes passengers are using them for will enable the overall optimization of traffic flows.
BMW stated that the company will realize Intelligent Traffic Management through the integration of the above two projects with Traffic Management 2.0 and autonomous driving systems.
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| Automated and Connected Mobility for Intelligent Traffic Management (Title of speech) (Source: BMW) |
Tackling issues of urban mobility with Intelligent Solutions (Source: BMW) |
Related Reports:
Two autonomous driving trends: Level 3 for highways and Level 4 for public road (July 2017)
BMW's Car Sharing Service: Planning expansion to 10 cities, starting with 3 U.S. cities in 2016 (December 2016)
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