Access the full text.
Sign up today, get DeepDyve free for 14 days.
Rakkitha Widanapathiranage, J. Bunker, A. Bhaskar (2013)
Modelling busway station dwell time using smart cards
Rakkitha Widanapathiranage, J. Bunker, A. Bhaskar (2013)
A microscopic simulation model to estimate bus rapid transit station bus capacity
Gwen Kash, D. Hidalgo (2014)
The promise and challenges of integrating public transportation in Bogotá, ColombiaPublic Transport, 6
Rakkitha Pathiranage, J. Bunker, A. Bhaskar (2013)
A microscopic simulation model to estimate Bus Rapid Transit (BRT) station service capacity with mixed stopping and non-stopping bus operation
L. Lindau, Brenda Pereira, Rodrigo Castilho, M. Diógenes, J. Maldonado (2013)
Exploring the performance limit of a single lane per direction Bus Rapid Transit Systems (BRT)
(2000)
Draft connecting SEQ 2031
(2011)
Worldwide history of the development of BRT systems: key systems and policy issues related to BRT
Fazhi Li, Zhengyu Duan, Dongyuan Yang (2012)
Dwell time estimation models for bus rapid transit stationsJournal of Modern Transportation, 20
(2003)
TCRP Report 90: bus rapid transit volume 2, Implementation Guidelines, Transportation
M. Chang, G. Darido, E. Kim, D. Schneck, M. Hardy, J. Bunch, M. Baltes, D. Hinebaugh, L. Wnuk, F. Silver, S. Zimmerman (2004)
CHARACTERISTICS OF BUS RAPID TRANSIT FOR DECISION-MAKING
R. Fernández (2001)
A NEW APPROACH TO BUS STOP MODELLING.Traffic engineering and control, 42
Sumeetkumar Jaiswal, J. Bunker, L. Ferreira (2009)
Modelling the relationships between passenger demand and bus delays at busway stations
Alan Hoffman (2008)
Advanced Network Planning for Bus Rapid Transit: The “Quickway” Model as a Modal Alternative to “Light Rail Lite”
R. Fernández (2008)
Modelling public transport stops by microscopic simulationTransportation Research Part C-emerging Technologies, 18
(2007)
Bus Rapid Transit (BRT) Planning Guide: Institute for Transportation and Development Policy
P. Hidas, S. Aitken, Siddhartha Sharma, Min Xu (2009)
Evaluation of bus operations by microsimulation in a Sydney CBD corridor
D. Bitzios, N. Dennis, S. Grodum (2009)
MEASURING BENEFITS OF THE SOUTH EAST BUSWAY: TOWARDS A NEW APPROACH FOR VALUING PUBLIC TRANSPORT PROJECTS, 32
R. Fernández, V. Burgos, C. Cortés (2007)
Results of the microscopic modelling of traffic interactions at stops, junctions and roads for the design of bus rapid transit facilities
D. Hidalgo, G. Lleras, Enrique Hernández (2013)
Methodology for calculating passenger capacity in bus rapid transit systems: Application to the TransMilenio system in Bogotá, ColombiaResearch in Transportation Economics, 39
Sumeetkumar Jaiswal, J. Bunker, L. Ferreira (2010)
Influence of Platform Walking on BRT Station Bus Dwell Time Estimation: Australian AnalysisJournal of Transportation Engineering-asce, 136
Stations on Bus Rapid Transit (BRT) lines ordinarily control line capacity because they act as bottlenecks. At stations with passing lanes, congestion may occur when buses maneuvering into and out of the platform stopping lane interfere with bus flow, or when a queue of buses forms upstream of the station blocking inflow. We contend that, as bus inflow to the station area approaches capacity, queuing will become excessive in a manner similar to operation of a minor movement on an unsignalized intersection. This analogy was used to treat BRT station operation and to analyze the relationship between station queuing and capacity. We conducted microscopic simulation to study and analyze operating characteristics of the station under near steady state conditions through output variables of capacity, degree of saturation and queuing. In the first of two stages, a mathematical model was developed for all stopping buses potential capacity with bus to bus interference and the model was validated. Secondly, a mathematical model was developed to estimate the relationship between average queue and degree of saturation and calibrated for a specified range of controlled scenarios of mean and coefficient of variation of dwell time.
Public Transport – Springer Journals
Published: Nov 12, 2014
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.