Mota, M. M., la Mota, I.<nbsp>F.<nbsp>D., & Serrano, D. G., editors. Applied Simulation and Optimization: In Logistics and Industrial, and Aeronautical Practice. Springer, 2014. To appear August 2015

Paper abstract bibtex

Paper 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}, year = {2014}, 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}, 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.}, note = {To appear August 2015}, keywords = {pisis, bus bunching, linear programming, simulation} }

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