Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Intelligent Algorithm Finds Available Carsharing Vehicles

22.01.2015

A new program will make it easier to combine different modes of transport. Siemens is developing a service for predicting the availability of carsharing vehicles at a given location at specific times.

The forecasting tool will be incorporated into the integrated SiMobility Connect mobility platform, which links carsharing firms, public transport companies, taxis, and bike-rental services.

Customers will then be able to use just one app to plan all segments of their trip and immediately see which combinations of transport modes are most advantageous at the moment or at a later time. The goal is to make the planning of inter-modal journeys (combinations of different forms of transport) more effective in order to combat growing traffic congestion in metropolitan areas. The new software also incorporates car-sharing users whose cars do not have a permanent parking space.

This "free floating carsharing" is a relatively new concept made possible by state-of-the-art information technology systems. The vehicles here do not have a permanent location but can instead be parked anywhere within a specific region.

They then report their position to a control center. Users can then check the current availability of vehicles in their area with an app and book a car right when they're ready to take it. This system offers the benefit of great flexibility because vehicles no longer have to be returned to a specific place at a set time. Planning is more difficult, however, because the cars cannot be booked well in advance and users cannot be sure whether a vehicle will be available at an acceptable distance from the desired location in the future.

Position of all carsharing vehicles in realtime

The researchers from Siemens Corporate Technology focused on this aspect. They developed an algorithm that uses realtime data on the position of all carsharing vehicles to predict where and when they will be available in the future. The process begins with historical data on the locations and availability of all vehicles over time.

When such data is monitored over a longer period, it becomes possible to recognize patterns in the distribution of vehicles, and these patterns can then be used to make forecasts. A range of external influencing factors, such as weather, holidays, vacation periods, and major events, can also be incorporated into the analyses. The distribution of cars will also be affected by measures taken by carsharing firms, such as the provision of additional vehicles.

In order to manage this huge amount of data, the researchers divide the area for which forecasts are to be made into individual grid cells. The algorithm uses the historical data on these cells to learn how to predict future vehicle distribution as accurately as possible. The learned model gets better as the amount of data increases over time, which means its predictions become increasingly accurate even when it's already operating.
If the algorithm is integrated into a trip-planning app, users can look up the probability that a vehicle will be available within a user-defined radius of their desired location, thus enabling them to better plan their journey. Carsharing firms benefit from the app because it helps them utilize their vehicles more effectively.

Press Picture: http://www.siemens.com/press/en/presspicture/innovationnews/2015/im2015010379coe...

Weitere Informationen:

http://www.siemens.com/innovationnews

Dr. Norbert Aschenbrenner | Siemens InnovationNews

More articles from Information Technology:

nachricht The TU Ilmenau develops tomorrow’s chip technology today
27.04.2017 | Technische Universität Ilmenau

nachricht Five developments for improved data exploitation
19.04.2017 | Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, DFKI

All articles from Information Technology >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Making lightweight construction suitable for series production

More and more automobile companies are focusing on body parts made of carbon fiber reinforced plastics (CFRP). However, manufacturing and repair costs must be further reduced in order to make CFRP more economical in use. Together with the Volkswagen AG and five other partners in the project HolQueSt 3D, the Laser Zentrum Hannover e.V. (LZH) has developed laser processes for the automatic trimming, drilling and repair of three-dimensional components.

Automated manufacturing processes are the basis for ultimately establishing the series production of CFRP components. In the project HolQueSt 3D, the LZH has...

Im Focus: Wonder material? Novel nanotube structure strengthens thin films for flexible electronics

Reflecting the structure of composites found in nature and the ancient world, researchers at the University of Illinois at Urbana-Champaign have synthesized thin carbon nanotube (CNT) textiles that exhibit both high electrical conductivity and a level of toughness that is about fifty times higher than copper films, currently used in electronics.

"The structural robustness of thin metal films has significant importance for the reliable operation of smart skin and flexible electronics including...

Im Focus: Deep inside Galaxy M87

The nearby, giant radio galaxy M87 hosts a supermassive black hole (BH) and is well-known for its bright jet dominating the spectrum over ten orders of magnitude in frequency. Due to its proximity, jet prominence, and the large black hole mass, M87 is the best laboratory for investigating the formation, acceleration, and collimation of relativistic jets. A research team led by Silke Britzen from the Max Planck Institute for Radio Astronomy in Bonn, Germany, has found strong indication for turbulent processes connecting the accretion disk and the jet of that galaxy providing insights into the longstanding problem of the origin of astrophysical jets.

Supermassive black holes form some of the most enigmatic phenomena in astrophysics. Their enormous energy output is supposed to be generated by the...

Im Focus: A Quantum Low Pass for Photons

Physicists in Garching observe novel quantum effect that limits the number of emitted photons.

The probability to find a certain number of photons inside a laser pulse usually corresponds to a classical distribution of independent events, the so-called...

Im Focus: Microprocessors based on a layer of just three atoms

Microprocessors based on atomically thin materials hold the promise of the evolution of traditional processors as well as new applications in the field of flexible electronics. Now, a TU Wien research team led by Thomas Müller has made a breakthrough in this field as part of an ongoing research project.

Two-dimensional materials, or 2D materials for short, are extremely versatile, although – or often more precisely because – they are made up of just one or a...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

Event News

Fighting drug resistant tuberculosis – InfectoGnostics meets MYCO-NET² partners in Peru

28.04.2017 | Event News

Expert meeting “Health Business Connect” will connect international medical technology companies

20.04.2017 | Event News

Wenn der Computer das Gehirn austrickst

18.04.2017 | Event News

 
Latest News

Wireless power can drive tiny electronic devices in the GI tract

28.04.2017 | Medical Engineering

Ice cave in Transylvania yields window into region's past

28.04.2017 | Earth Sciences

Nose2Brain – Better Therapy for Multiple Sclerosis

28.04.2017 | Life Sciences

VideoLinks
B2B-VideoLinks
More VideoLinks >>>