Kooperativer Spurwechsel
Ko­op­er­a­tiv­er Spur­wech­sel
Image 1/6, Credit: DLR (CC BY-NC-ND 3.0)

Kooperativer Spurwechsel

Das Über­hol­manöver, eine Stan­dard­si­t­u­a­tion, wie sie täglich tausend­fach auf den Straßen passiert. Bei den Fahrdemon­stra­tio­nen präsen­tierten die DLR-Wis­senschaftler des In­sti­tuts für Verkehrssys­temtech­nik dieses hochkom­plexe Szenario als ko­op­er­a­tiv­en Spur­wech­sel zwis­chen zwei au­tonom agieren­den Fahrzeu­gen aus dem Pro­jekt Next Gen­er­a­tion Car.
Au­to­mat­ed freight ground trans­port
Image 2/6, Credit: DLR (CC-BY 3.0).

Automated freight ground transport

With­in the scope of the AT­LaS project, in­ves­ti­ga­tions are be­ing car­ried out in­to how the lo­gis­tics in­dus­try can be­come more ef­fi­cient and ser­vice ori­ent­ed through au­toma­tion and net­work­ing.
The car of the future communicates with traffic infrastructure
The car of the fu­ture com­mu­ni­cates with traf­fic in­fras­truc­ture
Image 3/6, Credit: DLR (CC-BY 3.0).

The car of the future communicates with traffic infrastructure

In a driv­ing demon­stra­tion, the DLR In­sti­tute of Trans­porta­tion Sys­tems, an au­tonomous ve­hi­cle was able take ad­van­tage of traf­fic in­for­ma­tion, from traf­fic lights to speed ad­just­ment.
More se­cu­ri­ty for the traf­fic of to­mor­row
Image 4/6, Credit: DLR (CC-BY 3.0).

More security for the traffic of tomorrow

In the frame­work of the PE­GA­SUS project, DLR, to­geth­er with part­ners from in­dus­try and re­search in­sti­tu­tions, is de­vel­op­ing con­cepts for au­tonomous car trans­port. This project will make good use of the trans­port and test in­fras­truc­ture of the Ap­pli­ca­tion Plat­form for In­tel­li­gent Mo­bil­i­ty (AIM) in Braun­schweig. In 2017 AIM will be ex­pand­ed with a test field for main and in­ter­state roads in Low­er Sax­ony.
Highly automated: One the touch of a button is enough
High­ly au­to­mat­ed: One the touch of a but­ton is enough
Image 5/6, Credit: DLR (CC BY-NC-ND 3.0)

Highly automated: One the touch of a button is enough

With the touch of a but­ton, the driv­er can se­lect the lev­el of au­toma­tion. Road traf­fic ac­ci­dents are of­ten the re­sult of er­rors made by inat­ten­tive, over­stressed or tired drivers. The ob­jec­tive of the EU project HAVEit (High­ly Au­to­mat­ed Ve­hi­cles for In­tel­li­gent Trans­port), in which the Ger­man Aerospace Cen­ter (Deutsches Zen­trum fuer Luft- und Raum­fahrt; DLR) played an ac­tive role, was to min­imise the num­ber of this kind of ac­ci­dents. 
The cargo bike in action
Car­go bike
Image 6/6, Credit: DLR (CC BY-NC-ND 3.0)

Cargo bike

De­spite their large po­ten­tial to re­duce emis­sions and in­crease trans­port ef­fi­cien­cy, car­go bikes have thus far not been used to any sig­nif­i­cant ex­tent for com­mer­cial pur­pos­es.This project of­fers com­pa­nies and pub­lic in­sti­tu­tions the op­por­tu­ni­ty to test car­go bikes over long pe­ri­ods of time. In ad­di­tion, a large num­ber of oth­er de­ci­sion-mak­ers and mul­ti­pli­ers will be ad­dressed through in­ten­sive pub­lic re­la­tions work.

Road transport

Road traffic will remain the dominant mode of transport for the foreseeable future. As a result, it is imperative to exploit all the available potential in order to improve its efficiency, safety and environmental sustainability. Against this backdrop, researchers are not limiting their focus simply to the technical development of road vehicles, but are also pursuing an integrated approach in which the relationships between vehicles, infrastructure and traffic management approaches are considered and investigated in a methodical manner that addresses the entire system.

Alternative drivetrains, lightweight construction and energy management are also research topics, along with the further development of automated assistance systems and studies of drivers and their interactions with the vehicles. One of the essential framework conditions for automated transport systems is to enable secure communication between vehicles and with the infrastructure. As a result, and with the increasing digitalisation of transport, further opportunities are emerging to shape transport management in an even more efficient way. The growing volumes of new transport data, as well as improved evaluation and interpretation methods, are creating a variety of opportunities and possibilities to improve traffic flows significantly and to reduce emissions.

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