Development of an Effective Travel Time Prediction Method Using Modified Moving Average Approach

  • Nihad Karim Chowdhury
  • Rudra Pratap Deb Nath
  • Hyunjo Lee
  • Jaewoo Chang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5711)


Prediction of travel time on road network has emerged as a crucial research issue in intelligent transportation system (ITS). Travel time prediction provides information that may allow travelers to change their routes as well as departure time. To provide accurate travel time for travelers is the key challenge in this research area. In this paper, we formulate two new methods which are based on moving average can deal with this kind of challenge. In conventional moving average approach, data may lose at the beginning and end of a series. It may sometimes generate cycles or other movements that are not present in the original data. Our proposed modified method can strongly tackle those kinds of uneven presence of extreme values. We compare the proposed methods with the existing prediction methods like Switching method [10] and NBC method [11]. It is also revealed that proposed methods can reduce error significantly in compared with other existing methods.


Intelligent transportation system travel time prediction moving average NBC method Switching method 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Nihad Karim Chowdhury
    • 1
  • Rudra Pratap Deb Nath
    • 1
  • Hyunjo Lee
    • 2
  • Jaewoo Chang
    • 2
  1. 1.Department of Computer Science & EngineeringUniversity of ChittagongBangladesh
  2. 2.Department of Computer EngineeringChonbuk National UniversitySouth Korea

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