Title: Study on urban three-lane mixed traffic flow with buses based on the Nagel-Schreckenberg model
Authors: Changxi Ma; Fang Wu; Bo Qi; Liang Gong; Li Wang; Xinlei An
Addresses: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City 730070, Gansu Province, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City 730070, Gansu Province, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City 730070, Gansu Province, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City 730070, Gansu Province, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City 730070, Gansu Province, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City 730070, Gansu Province, China
Abstract: On the basis of Nagel-Schreckenberg (NaSch) traffic flow model, a new Three-lane Fuzzy Cellular Automaton (TFCA) model for mixed traffic with buses is established. In our study, the fuzzy control rules are used to determine the random parameters which are capable of describing the mixed traffic flow, especially the braking rate, lane change rules, overtaking and random slow mechanisms of buses are reset just for analysis of psychological factors of bus drivers. Finally the developed TFCA model has been validated by using computer simulation. The results show that the model could be used to reveal the essence of urban three-lane mixed traffic flow characteristics.
Keywords: fuzzy cellular automaton; fuzzy control; fuzzy logic; mixed traffic flow; three lanes; simulation; urban traffic; traffic flow modelling; buses; Nagel-Schreckenberg model; braking rate; lane change rules; overtaking; random slow mechanisms; psychology; bus drivers.
DOI: 10.1504/IJWMC.2013.057563
International Journal of Wireless and Mobile Computing, 2013 Vol.6 No.6, pp.615 - 620
Received: 25 Apr 2013
Accepted: 29 Apr 2013
Published online: 16 Oct 2014 *