Abstract
Based on Markov chain, the paper establishes average queue length model of bus stop. By the model, the length of bus stop zones is determined. By VISSIM, the paper researches on a typical bus stop simulation and certificates Markov model in order to determine the feasibility and reasonableness of zone length. For the typical bus stop, paper studies the rehabilitation programs on the average queuing length, maximum queuing length and delays. Based statistical results, the paper determines a reasonable rehabilitation programs and gives an optimization design instances.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Fernandez R (2007) Passion 5.0—a model for microscopic simulation of multiple-berth bus stops. Traffic Eng Control 48(7):324–328
Basso LJ, Silva HE (2010) A microeconomic analysis of congestion management policies. In: 5th Kuhmo Nectar conference in transport economics Valencia, Spain
Tirachini A (2012) The economics and engineering of bus stops: spacing, design and congestion. The University of Sydney
Yun H (2011) Study on problems of the location and the number of berths of multiple routes bus stops. Southwest Jiaotong University, Chendu
Luo T, Zhao J (2015) Modeling bus bay blockage and influence of capacity on the adjacent lane. In: Cota international conference of transportation professionals, pp 1280–1291
Zhao J, Luo T, Zhang Y (2016) Modeling capacity and delay based on bus bay blockage and the influence of traffic flow. In: Cota international conference of transportation professionals, pp 2314–2325
Ross SM (2010) Introduction to probability models
Xiao H, Zhang X (2011) Setting form optimum determination for bus stop. Traffic Eng 9(18):45–50
Lv L (2006) Study on optimization design od bus stop. Southeast University, Nanjing
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhao, Jy., Luo, T. (2019). Optimization of the Variable Area in Curbside Bus Stop. In: Wang, W., Bengler, K., Jiang, X. (eds) Green Intelligent Transportation Systems. GITSS 2017. Lecture Notes in Electrical Engineering, vol 503. Springer, Singapore. https://doi.org/10.1007/978-981-13-0302-9_79
Download citation
DOI: https://doi.org/10.1007/978-981-13-0302-9_79
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0301-2
Online ISBN: 978-981-13-0302-9
eBook Packages: EngineeringEngineering (R0)