Advertisement

A POMDP Model for Guiding Taxi Cruising in a Congested Urban City

  • Lucas Agussurja
  • Hoong Chuin Lau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7094)

Abstract

We consider a partially observable Markov decision process (POMDP) model for improving a taxi agent cruising decision in a congested urban city. Using real-world data provided by a large taxi company in Singapore as a guide, we derive the state transition function of the POMDP. Specifically, we model the cruising behavior of the drivers as continuous-time Markov chains. We then apply dynamic programming algorithm for finding the optimal policy of the driver agent. Using a simulation, we show that this policy is significantly better than a greedy policy in congested road network.

Keywords

agent application intelligent transportation POMDP taxi service 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Becker, R., Zilberstein, S., Lesser, V., Goldman, C.V.: Transition-independent decentralized markov decision processes. In: Proc. 2nd Conf. on Autonomous Agents and Multi-agent Systems, pp. 41–48 (2003)Google Scholar
  2. 2.
    Bernstein, D.S., Givan, R., Immerman, N., Zilberstein, S.: The complexity of decentralized control of markov decision processes. Mathematics of Operation Research 27, 819–840 (2002)MathSciNetCrossRefzbMATHGoogle Scholar
  3. 3.
    Cassandra, A., Littman, M.L., Zhang, N.L.: Incremental pruning: A simple, fast, exact method for partially observable markov decision processes. In: Proc. 13th Conf. on Uncertainty in Art. Intell., pp. 54–61 (1997)Google Scholar
  4. 4.
    Hansen, E.A.: Solving pomdps by searching in policy space. In: Proc. 14th Conf. on Uncertainty in Art. Intell., pp. 211–219 (1998)Google Scholar
  5. 5.
    Hansen, E.A., Bernstein, D.S., Zilberstein, S.: Dynamic programming for partially observable stochastic games. In: Proc. 19th AAAI Conf. on Art. Intell., pp. 709–715 (2004)Google Scholar
  6. 6.
    Hansen, E.A., Feng, Z.: Dynamic programming for pomdps using a factored state representation. In: Proc. 5th Conf. on AI Planning Systems, pp. 130–139 (2000)Google Scholar
  7. 7.
    Kaelbling, L.P., Littman, M.L., Cassandra, A.R.: Planning and acting in partially observable stochastic domains. Art. Intell. 101, 99–134 (1998)MathSciNetCrossRefzbMATHGoogle Scholar
  8. 8.
    Nair, R., Tambe, M., Yokoo, M., Pynadath, D., Marsella, S.: Taming decentralized pomdps: Towards efficient policy computation for multiagent settings. In: Proc. 18th Int’l Joint Conf. on Art. Intell., pp. 705–711 (2003)Google Scholar
  9. 9.
    Smallwood, R.D., Sondik, E.J.: The optimal control of partially observable markov processes over a finite horizon. Operations Research 21, 1071–1088 (1973)CrossRefzbMATHGoogle Scholar
  10. 10.
    Wong, K.I., Wong, S.C., Bell, M.G.H., Yang, H.: Modeling the bilateral micro-searching behavior for urban taxi services using the absorbing markov chain approach. Advanced Transportation 39, 81–104 (2005)CrossRefGoogle Scholar
  11. 11.
    Wong, K.I., Wong, S.C., Yang, H.: Calibration and validation of network equilibrium taxi model for hong kong. In: Proc. 4th Conf. of the Hong Kong Society for Transportation Studies, pp. 249–258 (1999)Google Scholar
  12. 12.
    Wong, K.I., Wong, S.C., Yang, H., Wu, J.H.: Modeling urban taxi services with multiple user classes and vehicle modes. Transportation Research Part B: Methodologocal 42, 985–1007 (2008)CrossRefGoogle Scholar
  13. 13.
    Yang, H., Wong, S.C.: A network model of urban taxi services. Transportation Research Part B: Methodological 32, 235–246 (1998)CrossRefGoogle Scholar
  14. 14.
    Yang, H., Wong, S.C., Wong, K.I.: Demand-supply equilibrium of taxi services in a network under competition and regulation. Transportation Research Part B: Methodological 36, 799–819 (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Lucas Agussurja
    • 1
  • Hoong Chuin Lau
    • 2
  1. 1.The Logistics Institute Asia PacificNational University of SingaporeSingapore
  2. 2.School of Information SystemsSingapore Management UniversitySingapore

Personalised recommendations