Open Access
MATEC Web Conf.
Volume 259, 2019
2018 6th International Conference on Traffic and Logistic Engineering (ICTLE 2018)
Article Number 01002
Number of page(s) 5
Section Transportation and Path Planning
Published online 25 January 2019
  1. R. W. Hall. The fastest path through a network with random time-dependent travel times. Transportation Science, vol.20, no.3, pp.182–188, (1986) [CrossRef] [Google Scholar]
  2. E. D. Miller-Hooks and H. S. Mahmassani. Least expected time paths in stochastic, time-varying transportation networks, Transportation Science, vol. 34, no.2, pp.198–215, (2000) [CrossRef] [Google Scholar]
  3. S. Sun, Z. Duan, S. Sun, and D. Yang. How to find the optimal paths in stochastic time-dependent transportation networks?. 17th International IEEE Conference on Intelligent Transportation Systems, Oct 2014, pp. 2348–2353. [Google Scholar]
  4. P. Ni, H. T. Vo, D. Dahlmeier, W. Cai, J. Ivanchev, and H. Aydt. Depart: Dynamic route planning in stochastic time-dependent public transit networks. 2015 IEEE 18th International Conference on Intelligent Transportation Systems, Sept 2015, pp. 1672–1677. [Google Scholar]
  5. S. Gao. Optimal adaptive routing and traffic assignment in stochastic time-dependent networks. Ph.D. dissertation, Massachusetts Institute of Technology, (2005) [Google Scholar]
  6. S. Gao and I. Chabini. Optimal routing policy problems in stochastic time-dependent networks. Transportation Research Part B: Methodological, vol. 40, no. 2, pp. 93–122, (2006). [CrossRef] [Google Scholar]
  7. S. Gao, E. Frejinger, and M. Ben-Akiva. Adaptive route choices in risky traffic networks: A prospect theory approach. Transportation research part C: emerging technologies, vol. 18, no. 5, pp. 727–740, (2010). [CrossRef] [Google Scholar]
  8. C. Wu, X. Zhang, and Y. Dong. Adaptive route guidance based on real-time information in stochastic time-dependent transportation networks. 17th International IEEE Conference on Intelligent Transportation Systems, Oct 2014, pp. 2392–2397. [Google Scholar]
  9. J. Boyan and M. Mitzenmacher. Improved results for route planning in stochastic transportation. Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms. pp. 895–902. (2001). [Google Scholar]
  10. M. Datar and A. Ranade. Commuting with delay prone buses. SODA, pp. 22–29, (2000). [Google Scholar]
  11. V. T. N. Nha, S. Djahel, and J. Murphy. A comparative study of vehicles’ routing algorithms for route planning in smart cities. 2012 First International Workshop on Vehicular Traffic Management for Smart Cities (VTM), Nov 2012, pp. 1–6. [Google Scholar]
  12. M. Fu, J. Li, and Z. Deng. A practical route planning algorithm for vehicle navigation system. Fifth World Congress on Intelligent Control and Automation, vol. 6, pp. 5326–5329, (2004) [CrossRef] [Google Scholar]
  13. F. B. Zhan and C. E. Noon. Shortest path algorithms: An evaluation using real road networks. Transportation Science, vol. 32, no. 1, pp. 65–73, (1998). [CrossRef] [Google Scholar]
  14. G. Kotusevski and K. Hawick. A review of traffic simulation software. CSTN, vol. 13, no. 08, (2009). [Google Scholar]
  15. A. Wegener, M. Piorkowski, M. Raya, H. Hellbruck, S. Fischer, and J.-P. Hubaux. Traci: An interface for coupling road traffic and network simulators. 11th Communications and Networking Simulation Symposium, Apr 2008, pp. 155–163. [CrossRef] [Google Scholar]

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