@article{lombardi_model-based_2021,
	title = {Model-{Based} {Dynamic} {Toll} {Pricing}: {An} {Overview}},
	volume = {11},
	issn = {2076-3417},
	url = {https://www.mdpi.com/2076-3417/11/11/4778/htm},
	doi = {10.3390/APP11114778},
	abstract = {In this paper, we review some of the most recent research regarding design, simulation, implementation and evaluation of dynamic tolling schemes. Analyzing the structure of the reviewed studies, we identify the common elements and the differences in the approaches chosen by different authors, presenting an overview of the methods for price definition and of the simulation techniques as well as a discussion on the newest technology applications in the field. Optimization revealed to be the dominant price definition method, while control-based algorithms are notably employed for managed lanes toll pricing schemes. Regarding traffic and driver behavior simulation we observed a great variety of solutions throughout the reviewed papers, with a prevalence of macroscopic models for the former and logit models for the latter. Still few papers include models for externalities quantification, while AI paradigms are gaining importance in the field.},
	number = {11},
	urldate = {2022-06-27},
	journal = {Applied Sciences 2021, Vol. 11, Page 4778},
	author = {Lombardi, Claudio and Picado-Santos, Luís and Annaswamy, Anuradha M.},
	month = may,
	year = {2021},
	note = {Publisher: Multidisciplinary Digital Publishing Institute},
	keywords = {based algorithms, congestion management, control, driver behavior model, dynamic toll pricing, externalities quantification, optimization, traffic model},
	pages = {4778},
}

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