Vehicular flow analysis using clusters

Mostrar todas las versiones(2)
Detalles Bibliográficos
Autor Principal: Reyes Zambrano, Gary
Otros autores o Colaboradores: Lanzarini, Laura Cristina, Estrebou, César Armando, Maquilón, Víctor
Formato: Capítulo de libro
Lengua:inglés
Temas:
GENERAL PURPOSE SIMULATION SYSTEM - GPSS
trafico vehicular
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/130341
Consultar en el Cátalogo
Resumen:The volume of vehicular traffic in large cities has increased in recent years, causing mobility problems, which is why the analysis of vehicular flow data becomes important for researchers. Intelligent Transportation Systems perform vehicle monitoring and control by collecting GPS trajectories, information that provides real-time geographic location of vehicles, which allows the identification of patterns on vehicle flow using clustering techniques. This paper presents a methodology capable of analyzing vehicular flow in a given area, identifying speed ranges and maintaining an updated interactive map that facilitates the identification of areas of possible traffic jams. The results obtained on a dataset from the city of Guayaquil-Ecuador are satisfactory and clearly represent the speed of vehicle displacement by automatically identifying the most representative ranges for each instant of time.
Notas:Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
Descripción Física:1 archivo (415,2 kB)

MARC

LEADER 00000naa a2200000 a 4500
003 AR-LpUFIB
005 20250423183303.0
008 230201s2021 xx o 000 0 eng d
024 8 |a DIF-M8751  |b 8978  |z DIF008019 
040 |a AR-LpUFIB  |b spa  |c AR-LpUFIB 
100 1 |a Reyes Zambrano, Gary  |9 49830 
245 1 0 |a Vehicular flow analysis using clusters 
300 |a 1 archivo (415,2 kB) 
500 |a Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca) 
520 |a The volume of vehicular traffic in large cities has increased in recent years, causing mobility problems, which is why the analysis of vehicular flow data becomes important for researchers. Intelligent Transportation Systems perform vehicle monitoring and control by collecting GPS trajectories, information that provides real-time geographic location of vehicles, which allows the identification of patterns on vehicle flow using clustering techniques. This paper presents a methodology capable of analyzing vehicular flow in a given area, identifying speed ranges and maintaining an updated interactive map that facilitates the identification of areas of possible traffic jams. The results obtained on a dataset from the city of Guayaquil-Ecuador are satisfactory and clearly represent the speed of vehicle displacement by automatically identifying the most representative ranges for each instant of time. 
534 |a Congreso Argentino de Ciencias de la Computación (27mo : 2021 : Salta, Argentina) 
650 4 |a GENERAL PURPOSE SIMULATION SYSTEM - GPSS  |9 45159 
653 |a trafico vehicular 
700 1 |a Lanzarini, Laura Cristina  |9 43377 
700 1 |a Estrebou, César Armando  |9 46276 
700 1 |a Maquilón, Víctor  |9 50532 
856 4 0 |u http://sedici.unlp.edu.ar/handle/10915/130341 
942 |c CP 
952 |0 0  |1 0  |4 0  |6 A1267  |7 3  |8 BD  |9 84172  |a DIF  |b DIF  |d 2025-03-11  |l 0  |o A1267   |r 2025-03-11 17:05:27  |u http://catalogo.info.unlp.edu.ar/meran/getDocument.pl?id=2646  |w 2025-03-11  |y CP 
999 |c 57791  |d 57791 

Ejemplares similares