Visualisation of the Energy-optimised Traffic Flow as an Assistance Function

With the increasing traffic on motorways, federal highways or multi-lane intra-urban roads, environmentally friendly mobility is aimed at, which applies on to the flow of the overall traffic. Especially during rush hours, changes in the structure of traffic participants (e.g. truck swings out to overtake, vehicle filters in traffic despite not reaching synchronous speed) have a drastic effect on this flow. The novel approach is to consider all traffic participants within a certain distance into the account to determine an overall energy-optimal scenario.


Researchers of the FZI aim to identify such scenarios regarding their impacts on the energy and resource efficiency of the traffic flow and to make them evaluable for the computer simulation. This affects future mobility with autonomous and intelligent vehicles. Thus, the cross-vehicle energy efficiency can subsequently be assessed and various actions of traffic participants can be evaluated in a scenario, in order to demonstrate measures for an energy-efficient overall traffic flow. This can, for example be an early decision to change the lane or to accelerate at the right time on a motorway. The basis of the evaluation of an homogeneous traffic flow is the "tactical vehicle environment". This illustrates the perspective of future driver assistance functions as well as autonomous driving functions and is based on the environment, which is directly perceptible via vehicle sensors and car-to-car communication. Thereby, a new method as well as their prototypical realisation for the transfer of real traffic scenarios for a subsequent analysis and variation in a simulation environment is developed. For the evaluation of energy-efficient and homogeneous traffic flow in the vehicle environment, the term of "connected efficiency" was introduced. This evaluation metric considers all influencing factors that have an impact on the energy demand of vehicles depending on the driving reactions, like the acceleration and the air or rolling friction. This simplified and simulatively determined energy demand is standardised on a "standard energy demand" by uniform motion of the vehicle. In the last step to connected efficiency, the key figures of all vehicles are cumulated in the tactical vehicle environment. In the framework of the research project EnopTraFlow, the basis for the evaluation of traffic scenarios concerning their energy efficiency the tactical vehicle environment is formed. Based on these results, a prototypical realisation of the framework was implemented in a perceptible demonstrator in the House of Living Labs smartMobility of the FZI.

Contact person

Stefan Otten

Vice Division Manager



Stefan Otten completed his masters's degree in electronical engineering at the KIT (Karlsruhe Institute of Technology). Topics include the development and test of automotive functions based on innovative processes and methods, the combination of simulative and real-world tests as well as the usage of automotive data. Since 2015 he is department manager in the division Embedded Systems and Sensors Engineering (ESS) responsible for Automotive Systems Engineering, since 2017 he is vice division manager of ESS.


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Phone: +49 721 9654-156
E-Mail: otten@dont-want-spam.fzi.de

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