Linear Bus Holding Model for Real Time Traffic Network Control. Hernández-Landa, L. G., Morales-Marroquín, M. L., Nigenda, R. S., & Ríos-Solís, Y. Á. Mota, M. M., la Mota, I. F. D., & Serrano, D. G., editors. Applied Simulation and Optimization: In Logistics and Industrial, and Aeronautical Practice, pages 303-319. Springer International Publishing, 2015. Paper doi abstract bibtex One of the most annoying problems in urban bus operations is bus bunching, which happens when two or more buses arrive at a stop nose to tail. Bus bunching reflects an unreliable service that affects transit operations by increasing passenger-waiting times. This work proposes a linear mathematical programming model that establishes bus holding times at certain stops along a transit corridor to avoid bus bunching. Our approach needs real-time input, so we simulate a transit corridor and apply our mathematical model to the data generated. Thus, the inherent variability of a transit system is considered by the simulation, while the optimization model takes into account the key variables and constraints of the bus operation. Our methodology reduces overall passenger-waiting times efficiently given our linear programming model, with the characteristic of applying control intervals just every 5 minutes.
@InBook{landamoralessanchezrios2014,
author = {Leonardo G. Hernández-Landa and Miguel L. Morales-Marroquín and Romeo Sánchez Nigenda and Yasmín Á. Ríos-Solís},
chapter = {Linear Bus Holding Model for Real Time Traffic Network Control},
title = {Applied Simulation and Optimization: In Logistics and Industrial, and Aeronautical Practice},
publisher={Springer International Publishing},
year = {2015},
editor = {Miguel Mujica Mota and Idalia Flores De la Mota and Daniel Guimarans Serrano},
ISBN = {978-3-319-15032-1},
url = {http://www.springer.com/mathematics/computational+science+%26+engineering/book/978-3-319-15032-1},
doi={10.1007/978-3-319-15033-8_10},
abstract = {One of the most annoying problems in urban bus operations is bus bunching, which happens when two or more buses arrive at a stop nose to tail. Bus bunching reflects an unreliable service that affects transit operations by increasing passenger-waiting times. This work proposes a linear mathematical programming model that establishes bus holding times at certain stops along a transit corridor to avoid bus bunching. Our approach needs real-time input, so we simulate a transit corridor and apply our mathematical model to the data generated. Thus, the inherent variability of a transit system is considered by
the simulation, while the optimization model takes into account the key variables
and constraints of the bus operation. Our methodology reduces overall passenger-waiting times efficiently given our linear programming model, with the characteristic of applying control intervals just every 5 minutes.},
pages={303-319},
keywords = {pisis, bus bunching, linear programming, simulation}
}
Downloads: 0
{"_id":"QsKrreiDE5FAFjJKR","bibbaseid":"hernndezlanda-moralesmarroqun-nigenda-rossols-appliedsimulationandoptimizationinlogisticsandindustrialandaeronauticalpractice-2015","downloads":0,"creationDate":"2015-07-30T15:41:59.504Z","title":"Applied Simulation and Optimization: In Logistics and Industrial, and Aeronautical Practice","author_short":["Hernández-Landa, L. G.","Morales-Marroquín, M. L.","Nigenda, R. S.","Ríos-Solís, Y. Á."],"year":2015,"bibtype":"inbook","biburl":"https://dl.dropboxusercontent.com/u/1090993/pubs_romeo.bib","bibdata":{"bibtype":"inbook","type":"inbook","author":[{"firstnames":["Leonardo","G."],"propositions":[],"lastnames":["Hernández-Landa"],"suffixes":[]},{"firstnames":["Miguel","L."],"propositions":[],"lastnames":["Morales-Marroquín"],"suffixes":[]},{"firstnames":["Romeo","Sánchez"],"propositions":[],"lastnames":["Nigenda"],"suffixes":[]},{"firstnames":["Yasmín","Á."],"propositions":[],"lastnames":["Ríos-Solís"],"suffixes":[]}],"chapter":"Linear Bus Holding Model for Real Time Traffic Network Control","title":"Applied Simulation and Optimization: In Logistics and Industrial, and Aeronautical Practice","publisher":"Springer International Publishing","year":"2015","editor":[{"firstnames":["Miguel","Mujica"],"propositions":[],"lastnames":["Mota"],"suffixes":[]},{"firstnames":["Idalia","Flores","De"],"propositions":["la"],"lastnames":["Mota"],"suffixes":[]},{"firstnames":["Daniel","Guimarans"],"propositions":[],"lastnames":["Serrano"],"suffixes":[]}],"isbn":"978-3-319-15032-1","url":"http://www.springer.com/mathematics/computational+science+%26+engineering/book/978-3-319-15032-1","doi":"10.1007/978-3-319-15033-8_10","abstract":"One of the most annoying problems in urban bus operations is bus bunching, which happens when two or more buses arrive at a stop nose to tail. Bus bunching reflects an unreliable service that affects transit operations by increasing passenger-waiting times. This work proposes a linear mathematical programming model that establishes bus holding times at certain stops along a transit corridor to avoid bus bunching. Our approach needs real-time input, so we simulate a transit corridor and apply our mathematical model to the data generated. Thus, the inherent variability of a transit system is considered by the simulation, while the optimization model takes into account the key variables and constraints of the bus operation. Our methodology reduces overall passenger-waiting times efficiently given our linear programming model, with the characteristic of applying control intervals just every 5 minutes.","pages":"303-319","keywords":"pisis, bus bunching, linear programming, simulation","bibtex":"@InBook{landamoralessanchezrios2014,\nauthor = {Leonardo G. Hernández-Landa and Miguel L. Morales-Marroquín and Romeo Sánchez Nigenda and Yasmín Á. Ríos-Solís},\nchapter = {Linear Bus Holding Model for Real Time Traffic Network Control},\ntitle = {Applied Simulation and Optimization: In Logistics and Industrial, and Aeronautical Practice},\npublisher={Springer International Publishing},\nyear = {2015},\neditor = {Miguel Mujica Mota and Idalia Flores De la Mota and Daniel Guimarans Serrano},\nISBN = {978-3-319-15032-1},\nurl = {http://www.springer.com/mathematics/computational+science+%26+engineering/book/978-3-319-15032-1},\ndoi={10.1007/978-3-319-15033-8_10},\nabstract = {One of the most annoying problems in urban bus operations is bus bunching, which happens when two or more buses arrive at a stop nose to tail. Bus bunching reflects an unreliable service that affects transit operations by increasing passenger-waiting times. This work proposes a linear mathematical programming model that establishes bus holding times at certain stops along a transit corridor to avoid bus bunching. Our approach needs real-time input, so we simulate a transit corridor and apply our mathematical model to the data generated. Thus, the inherent variability of a transit system is considered by\nthe simulation, while the optimization model takes into account the key variables\nand constraints of the bus operation. Our methodology reduces overall passenger-waiting times efficiently given our linear programming model, with the characteristic of applying control intervals just every 5 minutes.},\npages={303-319},\nkeywords = {pisis, bus bunching, linear programming, simulation}\n}\n\n","author_short":["Hernández-Landa, L. G.","Morales-Marroquín, M. L.","Nigenda, R. S.","Ríos-Solís, Y. Á."],"editor_short":["Mota, M. M.","la Mota, I. F. D.","Serrano, D. G."],"key":"landamoralessanchezrios2014","id":"landamoralessanchezrios2014","bibbaseid":"hernndezlanda-moralesmarroqun-nigenda-rossols-appliedsimulationandoptimizationinlogisticsandindustrialandaeronauticalpractice-2015","role":"author","urls":{"Paper":"http://www.springer.com/mathematics/computational+science+%26+engineering/book/978-3-319-15032-1"},"keyword":["pisis","bus bunching","linear programming","simulation"],"downloads":0},"search_terms":["applied","simulation","optimization","logistics","industrial","aeronautical","practice","hernández-landa","morales-marroquín","nigenda","ríos-solís"],"keywords":["pisis","bus bunching","linear programming","simulation"],"authorIDs":[],"dataSources":["4jF2Bnhop3HAZwBba"]}