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Optimization of the design of pre-signal system using improved cellular automaton.

Li Y, Li K, Tao S, Wan X, Chen K - Comput Intell Neurosci (2014)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Highway School, Chang'an University, The Middle Section of the Second Ring Road (South Part), Xi'an 710064, China.

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.

Show MeSH
Calibration of lane changing behaviors.
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Related In: Results  -  Collection


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fig6: Calibration of lane changing behaviors.

Mentions: To obtain the longitudinal/horizontal displacements travelled during lane changing and other parameters utilized for the design of pre-signal system, we use real field observed vehicle trajectory data to calibrate the selected parameters. As shown in Figure 6(a), we first applied a monitoring video of an extensive signalized intersections system (From Yantaxi Road-Chang'an Road intersection to Xiaozhai Road-Chang'an Road intersection) to explore vehicle interactions at the road section and intersection approach. The statistical results indicate that the vehicles at upstream will be at a free lane changing phase, which have little interaction with other vehicles. When the vehicles are at the intersection approach, that is, at the forced lane changing phase, the interactions between vehicles become the major influence factor to the traffic flow dynamic. In this way, we selected high resolution video to calibrate the selected parameters. Shown in Figure 6(b), the video was captured in the northern bound of the Xiaozhai intersection of Xi'an on March 16, 2014. The high resolution camera was set at a footbridge that crosses the intersection approach. The video was recorded at a frame rate of 30 f/s from 17:00 to 17:30. The maximum, minimum, mean, and majority values of the longitudinal displacements, horizontal displacements, approaching speed, and heading angle of all the trajectories with the lane changing behavior were summarized in Table 1 and Figure 6(c).


Optimization of the design of pre-signal system using improved cellular automaton.

Li Y, Li K, Tao S, Wan X, Chen K - Comput Intell Neurosci (2014)

Calibration of lane changing behaviors.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4236971&req=5

fig6: Calibration of lane changing behaviors.
Mentions: To obtain the longitudinal/horizontal displacements travelled during lane changing and other parameters utilized for the design of pre-signal system, we use real field observed vehicle trajectory data to calibrate the selected parameters. As shown in Figure 6(a), we first applied a monitoring video of an extensive signalized intersections system (From Yantaxi Road-Chang'an Road intersection to Xiaozhai Road-Chang'an Road intersection) to explore vehicle interactions at the road section and intersection approach. The statistical results indicate that the vehicles at upstream will be at a free lane changing phase, which have little interaction with other vehicles. When the vehicles are at the intersection approach, that is, at the forced lane changing phase, the interactions between vehicles become the major influence factor to the traffic flow dynamic. In this way, we selected high resolution video to calibrate the selected parameters. Shown in Figure 6(b), the video was captured in the northern bound of the Xiaozhai intersection of Xi'an on March 16, 2014. The high resolution camera was set at a footbridge that crosses the intersection approach. The video was recorded at a frame rate of 30 f/s from 17:00 to 17:30. The maximum, minimum, mean, and majority values of the longitudinal displacements, horizontal displacements, approaching speed, and heading angle of all the trajectories with the lane changing behavior were summarized in Table 1 and Figure 6(c).

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Highway School, Chang'an University, The Middle Section of the Second Ring Road (South Part), Xi'an 710064, China.

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.

Show MeSH