@MASTERSTHESIS{ 2021:162379932,
 	title = {Enhancing the precision of the cell transmission model for ubran mobility planning},
 	year = {2021},
 	url = "http://tede2.pucrs.br/tede2/handle/tede/9676",
 	abstract = "In urban mobility management, bus routes must be modified and added new ones. For this, identify and understand traffic behavior is proportionate by traffic simulation using computational tools. Mathematical models used in the simulation can approximate the actual traffic behavior and even predict it. This work applies modifications in the Cell Transmission Model (CTM) to simulate traffic behavior for bus routes management. The model, called CTM*, was implemented in a python script and added rules to simulate interference in traffic and different sizes of vehicles. The model’s rules simulate different types of vehicles, the presence of traffic lights and bus stops to intervene in the traffic flow. Additionally, the CTM* is capable of providing the travel time of vehicles and generating a data frame for assessing the situation of the traffic flow during the simulation and identify bottlenecks. The model was validated in a district located in the city of Porto Alegre, Brazil. The simulated travel time was compared with Google Maps data and obtained a difference of 5.88%. Once the CTM* is validated, a bus was inserted in the model. In addition to that, a saturated scenario was introduced in the model to simulate a situation of extreme congestion. The simulation allowed the observation of critical spots in the path and congestion due the bus delays.The CTM* has demonstrated to simulate traffic conditions successfully. The model allows the implementation of different scenarios and is influenced not only by obstacles like traffic lights and bus stops, but different types of vehicles.",
 	publisher = {Pontifícia Universidade Católica do Rio Grande do Sul},
 	scholl = {Programa de Pós-Graduação em Ciência da Computação},
 	note = {Escola Politécnica}
}