Vehicular traffic flow under influence of curb parking

Hong Wei Guo*, Zi You Gao, Xiao Mei Zhao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Parking problem is more serious nowadays. In order to evaluate the influence of curb parking on vehicular traffic flow, a modified Nagel-Schreckenberg cellular automata model is developed for describing a conflicting traffic flow in a one-way lane with curb parking spaces. The model is divided into three sub-models according to the dynamic features of different cars. Extensive Monte Carlo simulation is taken into account to find the model characteristics. The results show that the parking/unparking manoeuvre can antedate traffic state transition from free flow to congested flow at low density. The maximum flow rate declines by 18% to 37% with different proportion of parking/unparking cars. The manoeuvre duration also influences traffic performance significantly. The model shows the ability to capture the most important features of traffic flow under the influence of curb parking.

Original languageEnglish
Pages (from-to)134-138
Number of pages5
JournalJournal of Beijing Institute of Technology (English Edition)
Volume19
Issue numberSUPPL. 2
Publication statusPublished - Dec 2010
Externally publishedYes

Keywords

  • Curb parking
  • Influence evaluation
  • Monte Carlo simulation
  • Traffic flow

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