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This work develops a novel adaptive driving strategy for CAVs to stabilise heterogeneous vehicle strings by controlling one CAV under vehicle-to-infrastructure (V2I) communications.
Assuming that traffic flow can also be locally optimized through individual driver assistance systems, this paper presents a new type of assistance system for traffic flow adaptive driving.
Investigate adaptive driving.
The information acquired during the clinical evaluation can be used to determine the preferred vehicle type and adaptive driving aids for the on-road assessment.
While promoting safe driving and the prevention of collisions and injuries on the road, knowledge about facilitators, barriers and needs for the use of adaptive driving strategies could ultimately allow seniors to optimize their community mobility.
This study aimed to explore facilitators, barriers and needs for the use of adaptive driving strategies (i.e., means used to adjust driving for diminished abilities) which can optimize the community mobility of older drivers.
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The adaptive driving-force estimator (ADFE) [1,2] is used for the retrieval of driving-forces using only the system outputs for the first scenario.
They have also uncovered signatures of natural selection and genetic drift and are being used to identify loci responsible for adaptive and non-adaptive phenotypes driving the evolution of populations [ 8, 11– 11].
The phase plane-based controller is automatically adaptive to driving situations through the optimization of weights on the performance of the vehicle handling and stability.
Adopting previously established techniques used in adaptive vehicle driving is one such approach [ 32– 32].
Although we adopted concepts from adaptive vehicle driving literature to develop the content of the PMST, the tool that emerged is uniquely suited for EPW driving.
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