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Improving traffic flow with the introduction of autonomous vehicles

Schoemaker, Evan Huang (2020) Improving traffic flow with the introduction of autonomous vehicles. Bachelor's Thesis, Applied Mathematics.


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Human drivers have a tendency to overreact to the behaviour of the predecessor, amplifying disturbances leading to traffic congestion whereas autonomous vehicles can be controlled to attenuate such disturbances. Here, the stability properties of a human and autonomous model were studied separately before interconnecting them, giving rise to a mixed traffic model. In particular, the notion of string stability was used extensively and numerical simulations were performed to confirm the theoretical analysis. It was found that 20% of vehicles on a roadway need to be autonomous, with the objective of maintaining a time-headway of 2s, for string stability

Item Type: Thesis (Bachelor's Thesis)
Supervisor name: Besselink, B.
Degree programme: Applied Mathematics
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 13 Jul 2020 13:22
Last Modified: 13 Jul 2020 13:22

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