Driver Model for Mission-based Driving Cycles
When further demands are placed on emissions and performance of cars,
trucks and busses, the vehicle manufacturers are looking to have cheap
ways to evaluate their products for specific customers’ needs. Using
simulation tools to quickly compare use cases instead of manually
recording data is a possible way forward. However, existing traffic
simulation tools do not provide enough detail in each vehicle for the
driving to represent real life driving patterns with regards to road
features.
For the purpose of this thesis data has been recorded by having
different people drive a specific route featuring highway driving,
traffic lights and many curves. Using this data, models have then been
estimated that describe how hu- man drivers adjust their speed through
curves, how long braking distances typi- cally are with respect to the
driving speed, and the varying deceleration during braking
sequences. An additional model has also been created that produces a
speed variation when driving on highways. In the end all models are
imple- mented in Matlab using a traffic control interface to interact
with the traffic simulation tool sumo.
The results of this work are promising with the improved simulation
being able to replicate the most significant characteristics seen from
human drivers when approaching curves, traffic lights and
intersections.
Marcus Almen
2017
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Last updated: 2021-11-10
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