scholarly journals Bus Rapid Transit Systems Road Safety: A Case Study of Mexico City

10.5772/65583 ◽  
2017 ◽  
Author(s):  
Jaime Santos-Reyes ◽  
Vladimir Ávalos-Bravo ◽  
Diego Padilla-Pérez
Keyword(s):  
Mexico City ◽  
Road Safety ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Transit Systems

Impact of Bus Rapid Transit Systems on Road Safety

2012 ◽  
Vol 2317 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Juan Pablo Bocarejo ◽  
Juan Miguel Velasquez ◽  
Claudia Andrea Díaz ◽  
Luis Eduardo Tafur
Keyword(s):  
Road Safety ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Transit Systems

Scheduling the vehicles of bus rapid transit systems: a case study

2020 ◽  
Author(s):  
İsmail Sevim ◽  
Hatice Tekiner‐Moğulkoç ◽  
Mehmet Güray Güler
Keyword(s):  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Transit Systems

scholarly journals A Planning Method for Partially Grid-Connected Bus Rapid Transit Systems Operating with In-Motion Charging Batteries

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2550
Author(s):  
Andrés E. Díez ◽  
Mauricio Restrepo
Keyword(s):  
Planning Method ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Infrastructure Planning ◽  
Transit Systems ◽  
Power Train ◽  
Medium Voltage ◽  
Grid Connection ◽  
Electric Bus ◽  
Decision Variables

This paper presents an electrical infrastructure planning method for transit systems that operate with partially grid-connected vehicles incorporating on-board batteries. First, the state-of-the-art of electric transit systems that combine grid-connected and battery-based operation is briefly described. Second, the benefits of combining a grid connection and battery supply in Bus Rapid Transit (BRT) systems are introduced. Finally, the planning method is explained and tested in a BRT route in Medellin, Colombia, using computational simulations in combination with real operational data from electric buses that are currently operating in this transit line. Unlike other methods and approaches for Battery Electric Bus (BEB) infrastructure planning, the proposed technique is system-focused, rather than solely limited to the vehicles. The objective of the technique, from the vehicle’s side, is to assist the planner in the correct sizing of batteries and power train capacity, whereas from the system side the goal is to locate and size the route sections to be electrified. These decision variables are calculated with the objective of minimizing the installed battery and achieve minimum Medium Voltage (MV) network requirements, while meeting all technical and reliability conditions. The method proved to be useful to find a minimum feasible cost solution for partially electrifying a BRT line with In-motion Charging (IMC) technology.

Deadhead Minimization with a Flexible Facility Locator Tool

2021 ◽  
pp. 036119812110444
Author(s):  
Kara Todd ◽  
Freyja Brandel-Tanis ◽  
Daniel Arias ◽  
Kari Edison Watkins
Keyword(s):  
Open Source Software ◽  
Operating Cost ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Flexible Tool ◽  
The Subject ◽  
Transit Agencies ◽  
A Site

As transit agencies expand, they may outgrow their existing bus storage and service facilities. When selecting a site for an additional facility, an important consideration is the change in bus deadhead time, which affects the agency’s operating costs. Minimizing bus deadhead time is the subject of many studies, though agencies may lack the necessary software or programming skill to implement those methods. This study presents a flexible tool for determination of bus facility location. Using the R dodgr package, it evaluates each candidate site based on a given bus network and existing depots and calculates the network minimum deadhead time for each potential set of facilities. Importantly, the tool could be used by any transit agency, no matter its resources. It runs on open-source software and uses only General Transit Feed Specification (GTFS) and data inputs readily available to transit agencies in the U.S.A., filling the accessibility gap identified in the literature. The tool is demonstrated through a case study with the Metropolitan Atlanta Rapid Transit Authority (MARTA), which is considering a new bus depot as it builds its bus rapid transit network. The case study used current MARTA bus GTFS data, existing depot locations, and vacant properties from Fulton County, Georgia. The tool evaluated 17 candidate sites and found that the winning site would save 29.7 deadhead hours on a typical weekday, which translates to more than $12,000 daily based on operating cost assumptions. The output provides important guidance to transit agencies evaluating sites for a new bus depot.

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