Experimental study on the departure time choice behavior during the morning rush hours under different road capacity conditions

ABSTRACT

This paper presents an experimental study on the departure time choice behavior during the morning rush hours under different road capacity conditions. Experimental data are analyzed from the aspects of the equilibrium state of a traffic system and the choice behavior of subjects. The experimental results showed that the user equilibrium is easy to achieve in the medium-capacity scenario; however, it is difficult in the low- and high-capacity scenario. This implies that the user equilibrium cannot predict the aggregate behavior well when the bottleneck capacity is too low or too high. A reinforcement learning model is constructed to reproduce experimental results and uncover subjects’ learning mechanism. Simulation results are in good agreement with the experimental results. The results presented in this study could provide the theoretical support for developing measures for transportation management and control during the morning rush hours.

KEYWORDS:

• Bottleneck model
• morning rush hours
• travel choice behavior
• economics experiment
• reinforcement learning

Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant [No. 71961002]; and the Guangxi First-class Discipline Statistics Construction Project Fund under Grant [No. 2022GKZD02].

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The work was supported by the National Natural Science Foundation of China [71961002]; Guangxi First-class Discipline Statistics Construction Project Fund [2022GKZD02].