title: Optimization of the design of pre-signal system using improved cellular automaton.
abstract: The pre-signal system can improve the efficiency of intersection approach under rational design. One of the main obstacles in optimizing the design of pre-signal system is that driving behaviors in the sorting area cannot be well evaluated. The NaSch model was modified by considering slow probability, turning-deceleration rules, and lane changing rules. It was calibrated with field observed data to explore the interactions among design parameters. The simulation results of the proposed model indicate that the length of sorting area, traffic demand, signal timing, and lane allocation are the most important influence factors. The recommendations of these design parameters are demonstrated. The findings of this paper can be foundations for the design of pre-signal system and show promising improvement in traffic mobility.
authors.affiliation: Highway School, Chang'an University, The Middle Section of the Second Ring Road (South Part), Xi'an 710064, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Li
authors.affiliation: Highway School, Chang'an University, The Middle Section of the Second Ring Road (South Part), Xi'an 710064, China.
authors.forename: Ke
authors.initials: K
authors.lastname: Li
authors.affiliation: Highway School, Chang'an University, The Middle Section of the Second Ring Road (South Part), Xi'an 710064, China.
authors.forename: Siran
authors.initials: S
authors.lastname: Tao
authors.affiliation: Department of Civil and Environmental Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706, USA.
authors.forename: Xia
authors.identifier: 0000-0001-7375-2156
authors.initials: X
authors.lastname: Wan
authors.affiliation: Highway School, Chang'an University, The Middle Section of the Second Ring Road (South Part), Xi'an 710064, China.
authors.forename: Kuanmin
authors.initials: K
authors.lastname: Chen
mesh_terms: D001334:Automobile Driving; D002138:Calibration; D003198:Computer Simulation; D001330:Electronic Data Processing; D006801:Humans; D008962:Models, Theoretical; D017603:Signal Detection, Psychological