MAN and UR:BAN investigate partners interpretation four-year project

On 7 Oct 2015, a UR:BAN investigate partners will be arrangement a formula of a four-year devise during a site of Messe Düsseldorf and in genuine civic traffic. Experts from a 3 UR:BAN projects will benefaction some 50 proof vehicles. MAN is represented as a usually blurb car manufacturer with dual prototypes and a walk-in lorry cabin.

For MAN a communication between motorist and car was a devise that ran by a 3 sub-projects Human Factors in Traffic, Networked Traffic System and Cognitive Assistance.

Karlheinz Dörner, Head of Department for Driver Assistance Systems in a Engineering Research multiplication during MAN Truck Bus explains: “Urban trade is really formidable and places good final on a growth of systems for motorist support and automation. In a UR:BAN project, we used new technologies to observe and analyse what was going on in civic trade and grown a digital cockpit for discerning communication between a blurb car and a driver. The dual systems also grown in a UR:BAN devise – Green Wave Assistant for trucks and Panorama View for a civic train – use a discernment gained from this project. ”

Research concentration on Human Factors in Traffic

In a sub-project “Human Factors in Traffic”, MAN has extended a interface between motorist and blurb car (human-machine interface) formed on new assistance systems.

Cars and blurb vehicles already have a operation of electronic assistants to support a driver. The advantage for a motorist and others on a highway is that assistance systems are always alert, do not get sleepy and can therefore advise a motorist of danger, and if a misfortune comes to a misfortune can respond really quickly. In future, we will see some-more and some-more of these features. However, assistants should not upset a motorist with displays or warnings. They have to be discerning and easy to understand.

The MAN investigate group has therefore grown a arrangement and user judgment for what is famous as “intelligent journey control”. Using digital maps and communicating with a infrastructure, this complement can accumulate information and events such as speed boundary and trade light phases, or curves and turnings, that are applicable for a car on a specific route. On this basis, this partner can afterwards calculate a many fuel-effective pushing devise and adjust a speed accordingly. The complement can “see” many serve forward than a motorist can, though a motorist still has to guard his vehicle. For example, a complement already knows that there is a stop pointer behind a hook before a motorist can indeed see it, and so lets a lorry hurl to a delay earlier. Or a car is pushing towards a red trade light but shortening speed, since it knows that a trade light is going to switch to immature in a few seconds.

Without this information, many drivers would inappropriately overrule a involuntary speed control. Developers during MAN have so worked on a simple question: how does a human-machine interface need to be designed to give a motorist accurately a information he needs in a pushing conditions like this?

The researchers determined what information a motorist needs by contrariety veteran lorry drivers in a pushing simulator in a pushing situations described above. The outcome is a extensive arrangement concept, that MAN will uncover in a walk-in lorry cabin in Düsseldorf. In a arrangement concept, a totally digital arrangement replaces a analogue dashboard.

“This allows us to pattern a arrangement for a driver. To safeguard that a motorist is not dreaming by car information, a information has to be reduced to a unclothed essentials, and be intuitively obvious. The outcome should be a relaxed, fit and protected pushing knowledge in a civic environment”, summarises Karlheinz Dörner.

This sub-project is companion with other points of concentration that MAN has worked on in a UR:BAN project: a Green Wave Assistant and practical Panorama View. The driver-vehicle interface is of pivotal significance for these projects.

Research concentration on Green Wave Assistant

MAN has grown a Green Wave Assistant in a sub-project “Networked Traffic System”. This can make best use of a immature proviso of trade lights, and so save fuel as good as shortening wear and rip and emissions.

“Anticipatory pushing saves on fuel – this relates in sold to trucks and buses, as it takes of a lot of appetite to accelerate a 40-tonne car from 0 to 50 km/h. We can save a lot of fuel by permitting a car to roll, so that it is not required to stop and afterwards start again. This is precisely what a Green Wave Assistant can do when it interacts with a suitable trade infrastructure”, explains Karlheinz Dörner.

At a heart of a partner is an on-board mechanism that calculates an energy-saving pushing devise formed on a accessible information on trade light switching on a route. The car uses mobile communication to ask information from a server about a switching augury for a trade light system. Based on a information it receives, a car calculates a devise so that in an ideal unfolding it reaches a trade lights on a track when they are in their immature phase. The complement can envision several trade lights on a route, and can also devise in a stop as a many energy-saving choice if it is not possibly to strech a immature phase. The partner also considers a peculiarity of a information used for a prognosis.

The infrastructure has to be versed for these new tasks. UR:BAN has also worked on aspects compared with this, in team-work with a indication cities Düsseldorf and Kassel. The pushing proof in genuine civic trade in Düsseldorf uses usually this kind of server infrastructure.

In contrariety to a Green Wave Assistant, that can usually give a recommendation for ideal speed, MAN has versed a lorry antecedent with an active speed control. The motorist can so leave a best speed aim to a assistant. It is, however, also versed with a special stretch tying journey control, that keeps a protected stretch to a car in front, and can stop with a trade during trade lights, if necessary. However, for reserve reasons, a motorist has to actively assent start up.

At a UR:BAN shutting event, a MAN antecedent will denote a state-of-the-art record for a networked and programmed complement of this kind.

Research concentration on scenery viewpoint for blurb vehicles

Bus drivers in civic areas are faced with special hurdles in their operative sourroundings due to a parsimonious spaces in towns and cities. This includes passengers removing on an off during train stops, crossings with pedestrians and cyclists, streets with bottlenecks and approaching trade and changing lanes.

In a sub-project “Cognitive Assistance”, MAN has grown a specifically blending scenery viewpoint complement for a formidable mandate of buses in civic traffic. The UR:BAN researchers will be demonstrating this complement as a antecedent in a shutting eventuality for a project. The complement exclusively recognises a stream pushing conditions and allows a motorist to automatically see a viewpoint on a guard specifically blending to a situation. Bus motorist surveys, among other resources, were used to establish a situations, and to rise a situation-specific displays on a monitor. The situation-specific views were also assessed by train drivers during a growth to safeguard continual feedback.

“The camera complement gives a motorist an intuitively transparent overview of what is going on around a vehicle”, explains Karlheinz Dörner.

The complement exclusively recognises a following pushing situations and provides a motorist with a suitable viewpoint on a screen: pushing adult to a train stop, interlude during a train stop, pushing divided from a train stop, branch right and branch left. The motorist can name special views for bottlenecks and reversing by touchscreen.

The simple mandate for a complement of this kind for use in blurb vehicles were grown in this project: Two cameras were commissioned on a prolonged sides of a bus, sum with one camera during a front and another during a behind so as to be means to uncover a whole car length, including passengers removing on and off a train during a front and behind doors in good quality. An picture is afterwards correlated from a 6 particular images for any specific situation, that is afterwards shown to a motorist on a monitor.

The UR:BAN investigate project

A sum of 31 companies, universities, investigate comforts and towns have come together to work on a UR:BAN corner project. They have been operative together to rise motorist assistance and trade government systems for civic mobility. Their idea is civic trade that is both protected and effective – and that flows. The sum bill is 80 million Euros. The German Federal Ministry for Business and Energy (Bundesministerium für Wirtschaft und Energie – BMWi) is providing 50% of a appropriation for a project. Towns and cities are a concentration of EU trade policies, as 70 percent of Europeans live in these areas.

For serve information on a UR:BAN investigate project, greatfully see