Route Level Dynamic Travel Time Estimation on Freeway: A Case Study in Edmonton on Whitemud Drive

• Author / Creator

  Mao, Lu

• Travel time is increasing critical in Advanced Traveler Information System (ATIS) for traffic management. Several years ago, traditional methods for e.g. travel time measurement and average historical methods were often used. However, they are expensive and inflexible. Besides, lots of mathematical models have been built to tackle this problem. The Static Travel Time Estimation (STTE) method and the Dynamic Travel Time Estimation (DTTE) method are two of the major ones. When speeds on the route have little variation, they can provide similar results. However, when speeds vary a lot, results from the STTE are not as accurate as the DTTE. Therefore, to get accurate estimated travel time, the research would be focused on the DTTE method. The DTTE method consists of Piece-wise Linear Speed-based (PLSB) model and imaged trajectory algorithm. PLSB model provides section travel times, and imaged trajectories algorithm help to get route travel times. Besides, to evaluate models’ performance, traffic scenarios with and without VSL control are applied. Results in the thesis show that the DTTE method can stably provide more accurate estimations than the STTE method.

• Subjects / Keywords

  • Loop detector
  • Travel Time
  • Dynamics
  • Static
  • Freeway

• Graduation date

  Spring 2016

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/R3JM23Q2D

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.