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Modeling adaptive reversible lanes: A cellular automata approach.
Pérez-Méndez, Dante; Gershenson, Carlos; Lárraga, María Elena; Mateos, José L.
  • Pérez-Méndez D; Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, México.
  • Gershenson C; Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de México, México.
  • Lárraga ME; Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, México.
  • Mateos JL; Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de México, México.
PLoS One ; 16(1): e0244326, 2021.
Article in English | MEDLINE | ID: covidwho-1007117
ABSTRACT
Dealing with traffic congestion is one of the most pressing challenges for cities. Transport authorities have implemented several strategies to reduce traffic jams with varying degrees of success. The use of reversible lanes is a common approach to improve traffic congestion during rush hours. A reversible lane can change its direction during a time interval to the more congested direction. This strategy can improve traffic congestion in specific scenarios. Most reversible lanes in urban roads are fixed in time and number; however, traffic patterns in cities are highly variable and unpredictable due to this phenomenon's complex nature. Therefore, reversible lanes may not improve traffic flow under certain circumstances; moreover, they could worsen it because of traffic fluctuations. In this paper, we use cellular automata to model adaptive reversible lanes(aka dynamic reversible lanes). Adaptive reversible lanes can change their direction using real-time information to respond to traffic demand fluctuations. Using real traffic data, our model shows that adaptive reversible lanes can improve traffic flow up to 40% compared to conventional reversible lanes. Our results show that there are significant fluctuations in traffic flow even during rush hours, and thus cities would benefit from implementing adaptive reversible lanes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Theoretical Type of study: Prognostic study Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Theoretical Type of study: Prognostic study Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article