TY - JOUR
T1 - A Modified Cellular Automaton Model for Accounting for Traffic Behaviors during Signal Change Intervals
AU - Hsu, Chih Cheng
AU - Chiou, Yu-Chiun
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Previous cellular automata (CA) models have been developed for simulating driver behaviors in response to traffic signal control. However, driver behaviors during traffic signal change intervals, including cross/stop decision and speed adjustment, have not yet been studied. Based on this, this paper aims to propose a change interval CA model for replicating driver's perception and response to amber light based on stopping probability and speed adjusting functions. The proposed model has been validated by exemplified and field cases. To investigate the applicability of the proposed model, macroscopic and microscopic analyses are conducted. Although the macroscopic fundamental diagram analysis reveals only a small decrease in maximum traffic flow rates with considering driver behaviors in change intervals, in the microscopic analysis, the proposed model can present reasonable vehicular trajectories and deceleration rates during slowdown process.
AB - Previous cellular automata (CA) models have been developed for simulating driver behaviors in response to traffic signal control. However, driver behaviors during traffic signal change intervals, including cross/stop decision and speed adjustment, have not yet been studied. Based on this, this paper aims to propose a change interval CA model for replicating driver's perception and response to amber light based on stopping probability and speed adjusting functions. The proposed model has been validated by exemplified and field cases. To investigate the applicability of the proposed model, macroscopic and microscopic analyses are conducted. Although the macroscopic fundamental diagram analysis reveals only a small decrease in maximum traffic flow rates with considering driver behaviors in change intervals, in the microscopic analysis, the proposed model can present reasonable vehicular trajectories and deceleration rates during slowdown process.
UR - http://www.scopus.com/inward/record.url?scp=85047750645&partnerID=8YFLogxK
U2 - 10.1155/2018/8961454
DO - 10.1155/2018/8961454
M3 - Article
AN - SCOPUS:85047750645
VL - 2018
JO - Journal of Advanced Transportation
JF - Journal of Advanced Transportation
SN - 0197-6729
M1 - 8961454
ER -