Table of Contents Author Guidelines Submit a Manuscript
Journal of Advanced Transportation
Volume 2017 (2017), Article ID 6218363, 10 pages
https://doi.org/10.1155/2017/6218363
Research Article

Commute Equilibrium for Mixed Networks with Autonomous Vehicles and Traditional Vehicles

1School of Management, Shanghai University, 99 Shangda Road, Shanghai 200444, China
2School of Economics and Management, Tongji University, 1239 Siping Road, Shanghai 200092, China
3College of Transport & Communications, Shanghai Maritime University, 1550 Haigang Road, Pudong, Shanghai 201306, China

Correspondence should be addressed to Yangbeibei Ji; nc.ude.uhs@bbyj

Received 9 May 2017; Revised 21 September 2017; Accepted 18 October 2017; Published 12 November 2017

Academic Editor: Xiaobo Qu

Copyright © 2017 Yangbeibei Ji et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Shladover, D. Su, and X. Lu, “Impacts of cooperative adaptive cruise control on freeway traffic flow,” Transportation Research Record, vol. 2324, pp. 63–70, 2012. View at Publisher · View at Google Scholar
  2. J. B. Greenblatt and S. Saxena, “Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles,” Nature Climate Change, vol. 5, no. 9, pp. 860–863, 2015. View at Publisher · View at Google Scholar · View at Scopus
  3. A. C. Mersky and C. Samaras, “Fuel economy testing of autonomous vehicles,” Transportation Research Part C: Emerging Technologies, vol. 65, pp. 31–48, 2016. View at Publisher · View at Google Scholar · View at Scopus
  4. N. Jiang, “Optimal signal design for mixed equilibrium networks with autonomous and regular vehicles,” Journal of Advanced Transportation, vol. 2017, pp. 1–13, 2017. View at Publisher · View at Google Scholar
  5. M. Zhou, X. Qu, and S. Jin, “On the impact of cooperative autonomous vehicles in improving freeway merging: a modified intelligent driver model-based approach,” IEEE Transactions on Intelligent Transportation Systems, vol. PP, no. 99, pp. 1–7, 2016. View at Publisher · View at Google Scholar
  6. W. Vickrey, “Congestion theory and transport investment,” American Economic Review, vol. 59, pp. 251–261, 1969. View at Google Scholar
  7. R. Arnott, A. de Palma, and R. Lindsey, “A temporal and spatial equilibrium analysis of commuter parking,” Journal of Public Economics, vol. 45, no. 3, pp. 301–335, 1991. View at Publisher · View at Google Scholar · View at Scopus
  8. R. Arnott, A. de Palma, and R. Lindsey, “A structural model of peak-period congestion: a traffic bottleneck with elastic demand,” The American Economic Review, vol. 83, no. 1, pp. 161–179, 1993. View at Google Scholar
  9. C. Hendrickson and G. Kocur, “Schedule delay and departure time decision in a deterministic model,” Transportation Science, vol. 15, no. 1, pp. 62–77, 1981. View at Publisher · View at Google Scholar · View at Scopus
  10. M. J. Smith, “Existence of a time-dependent equilibrium distribution of arrivals at a single bottleneck,” Transportation Science, vol. 18, no. 4, pp. 385–394, 1984. View at Publisher · View at Google Scholar · View at Scopus
  11. C. F. Daganzo, “Uniqueness of a time-dependent equilibrium distribution of arrivals at a single bottleneck,” Transportation Science, vol. 19, no. 1, pp. 29–37, 1985. View at Publisher · View at Google Scholar · View at Scopus
  12. Y. Cohen, “Commuter welfare under peak-period congestion tolls: who gains and who loses?” International Journal of Transport Economics, vol. 14, no. 3, pp. 239–266, 1987. View at Google Scholar
  13. R. M. Braid, “Peak-load pricing of a transportation route with an unpriced substitute,” Journal of Urban Economics, vol. 40, no. 2, pp. 179–197, 1996. View at Publisher · View at Google Scholar · View at Scopus
  14. X. Zhang, H.-J. Huang, and H. M. Zhang, “Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city,” Transportation Research Part B: Methodological, vol. 42, no. 1, pp. 38–56, 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. T. Tabuchi, “Bottleneck congestion and modal split,” Journal of Urban Economics, vol. 34, no. 3, pp. 414–431, 1993. View at Publisher · View at Google Scholar · View at Scopus
  16. R. M. Braid, “Uniform versus peak-load pricing of a bottleneck with elastic demand,” Journal of Urban Economics, vol. 26, no. 3, pp. 320–327, 1989. View at Publisher · View at Google Scholar · View at Scopus
  17. E. Verhoef, P. Nijkamp, and P. Rietveld, “Second-best congestion pricing: The case of an untolled alternative,” Journal of Urban Economics, vol. 40, no. 3, pp. 279–302, 1996. View at Publisher · View at Google Scholar · View at Scopus
  18. H. Yang and H.-J. Huang, “Analysis of the time-varying pricing of a bottleneck with elastic demand using optimal control theory,” Transportation Research Part B: Methodological, vol. 31, no. 6, pp. 425–440, 1997. View at Publisher · View at Google Scholar · View at Scopus
  19. R. Danielis and E. Marcucci, “Bottleneck road congestion pricing with a competing railroad service,” Transportation Research Part E: Logistics and Transportation Review, vol. 38, no. 5, pp. 379–388, 2002. View at Publisher · View at Google Scholar · View at Scopus
  20. H.-J. Huang, “Pricing and logit-based mode choice models of a transit and highway system with elastic demand,” European Journal of Operational Research, vol. 140, no. 3, pp. 562–570, 2002. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  21. H. Yang and Q. Meng, “Departure time, route choice and congestion toll in a queuing network with elastic demand,” Transportation Research Part B: Methodological, vol. 32, no. 4, pp. 247–260, 1998. View at Publisher · View at Google Scholar · View at Scopus