Research on Morning Commuting Behavior under Autonomous Vehicle Environment Based on Activity Method
 W. S. Vickrey, “Congestion theory and transport investment,” American Economic Review, vol. 59, no. 2, pp. 251–260, 1969.
 D. Acemoglu, A. Makhdoumi, A. Malekian, and A. Ozdaglar, “Informational Braess’ Paradox : The Effect of Information on Traffic,” Operations Research, vol. 66, no. 4, pp. 893–917, 2018.
 Z. Khan and S. Amin, “Bottleneck model with heterogeneous information,” Transportation Research Part B: Methodological, vol. 112, pp. 157–190, 2018.
 X. Guo and H. J. Sun, “Modeling the morning commuter problem with heterogeneous travelers based on bottleneck model,” Systems Engineering-Theory & Practice, vol. 38, no. 4, pp. 1003–1012, 2018.
 L. L. Xiao, H. J. Huang, and L. J. Tian, “Stochastic bottleneck model with heterogeneous travelers,” Journal of Transportation Systems Engineering and Information Technology, vol. 14, no. 4, pp. 93–98, 2014.
 R. Arnott, A. De Palma, and R. Lindsey, “Information and time-of-usage decisions in the bottleneck model with stochastic capacity and demand,” European Economic Review, vol. 43, no. 3, pp. 525–548, 1999.
 M. Fosgerau, “On the relation between the mean and variance of delay in dynamic queues with random capacity and demand,” Journal of Economic Dynamics and Control, vol. 34, no. 4, pp. 598–603, 2010.
 F. Zhang, W. Liu, X. Wang, and H. Yang, “A new look at the morning commute with household shared-ride: How does school location play a role?,” Transportation Research Part E: Logistics and Transportation Review, vol. 103, pp. 198–217, 2017.
 L. L. Xiao, T. L. Liu, and H. J. Huang, “On the morning commute problem with carpooling behavior under parking space constraint,” Transportation Research Part B: Methodological, vol. 91, pp. 383–407, 2016.
 W. Liu, F. Zhang, and H. Yang, “Modeling and managing morning commute with both household and individual travels,” Transportation Research Part B: Methodological, vol. 103, pp. 227–247, 2017.
 Z. C. Li, W. H. K. Lam, S. C. Wong, and A. Sumalee, “An activity-based approach for scheduling multimodal transit services,” Transportation, vol. 37, no. 5, pp. 751–774, 2010.
 X. Zhang, H. Yang, H. J. Huang, and H. M. Zhang, “Integrated scheduling of daily work activities and morning-evening commutes with bottleneck congestion,” Transportation Research Part A: Policy and Practice, vol. 39, no. 1, pp. 41–60, 2005.
 Z. C. Li, W. H. K. Lam, and S. C. Wong, “Step tolling in an activity-based bottleneck model,” Transportation Research Part B: Methodological, vol. 101, pp. 306–334, 2017.
 J. Kim and M. P. Kwan, “Beyond commuting: Ignoring individuals’ activity-travel patterns may lead to inaccurate assessments of their exposure to traffic congestion,” International journal of environmental research and public health, vol. 16, no. 1. p. 89, 2019.
 W. Liu, “An equilibrium analysis of commuter parking in the era of autonomous vehicles,” Transportation Research Part C: Emerging Technologies, vol. 92, pp. 191–207, 2018.
 V. A. C. van den Berg and E. T. Verhoef, “Autonomous cars and dynamic bottleneck congestion: The effects on capacity, value of time and preference heterogeneity,” Transportation Research Part B: Methodological, vol. 94, pp. 43–60, 2016.
 X. Yu, V. A. C. van den Berg, and E. Verhoef, “Autonomous Cars and Dynamic Bottleneck Congestion Revisited: How In-Vehicle Activities Determine Aggregate Travel Patterns,” SSRN Electronic Journal, 2019.
 K. A. Small, “The scheduling of consumer activities: Work trips,” American Economic Review, vol. 72, no. 72, pp. 467–479, 1982.
 Z. C. Li, W. H. K. Lam, and S. C. Wong, “Bottleneck model revisited: An activity-based perspective,” Transportation Research Part B: Methodological, vol. 68, pp. 262–287, 2014.