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Accuracy of Travel Time Estimation Using Bluetooth Technology: Case Study Limfjord Tunnel Aalborg

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Bluetooth Technology (BT) has been used as a relatively new cost-effective measurement tool for travel time. However, due to low sampling rate of BT compared to other sensor technologies, the presence of outliers may significantly affect the accuracy and reliability of travel time estimates obtained using BT. In this study, the concept of outliers and their impact on travel time accuracy are discussed. Four different estimators, namely Min-BT, Max-BT, Med-BT and Avg-BT, were used to estimate travel times using BT. By means of various estimation methods, it is tried to evaluate the impact of estimation method on the accuracy of estimated travel time using BT. Two sources of Floating Car Data (FCD) were used as the ground truth in order to quantify and evaluate the accuracy of travel time profiles obtained by BT. Three aggregation techniques including arithmetic mean, geometric mean and harmonic mean were used to construct the travel time profile using BT dataset. In order to quantify the impact of sample size on accuracy of travel time estimates, a series of sensitivity analyses are conducted. Results show that Min-BT and Med-BT are more robust in the presence of outliers in the dataset and can provide more accurate travel time estimates compared to Max-BT and Avg-BT. Moreover, implementing harmonic mean and geometric mean for travel time profile construction could significantly improve the accuracy of estimates obtained by BT.

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References

  1. Quayle, S., Koonce P., J.V., Bullock, D.M., DePencier, D.: Arterial Performance Measures Using MAC Readers: Pilot Study in Portland Oregon. In Proceedings 89th Annual Meeting Transportation Research Board, Washington (2010)

  2. Haghani, A., Hamedi, M., Sadabadi, K.F., Young, S.E., Tarnoff, P.J.: Freeway Travel Time Ground Truth Data Collection Using Bluetooth Sensors. In Proceedings 89th Annual Meeting Transportation Research Board, Washington (2010)

  3. Malinovskiy, Y., Wu, Y.J., Wang, Y., Lee, U.K.: Field Experiments on Bluetooth-Based Travel Time Data Collection. In Proceedings 89th Annual Meeting Transportation Research Board, Washington (2010)

  4. Puckett, D.D., Vickich, M.J.: Bluetooth®-Based Travel Time/Speed Measuring Systems Development' Texas Transportation Institute, UTCM Project #09-00-17 (2010)

  5. Wasson, J.S., Sturdevant, J.R., Bullock, D.M.: Real-time travel time estimates using media access control address matching. ITE J. 78, 20–23 (2008)

  6. Wasson, J., Haseman, R., Bullock, D.M.: Real-Time Measurement of Work Zone Travel Time Delay and Evaluation Metrics Using Bluetooth Probe Tracking. In Proceedings 89th Annual Meeting Transportation Research Board, Washington (2010)

  7. Farokhi, S.K., Hamedi, M., Haghani, A.: Evaluating Moving Average Techniques in Short-Term Travel Time Prediction Using an AVI Data Set. In Proceedings 89th Annual Meeting Transportation Research Board, Washington (2010)

  8. Lahrmann, H., Skoven Pedersen, K., C., LT.: Bluetooth detektorer som ny cost-effektiv sensor i vejtrafikken. In Proceedings the Annual Transport Conference at Aalborg University, Aalborg (2010)

  9. Barcelo, J., Montero, L., Marques, L.: Travel Time Forecasting and Dynamic OD Estimation in Freeways Based on Bluetooth Traffic Monitoring. In Proceedings 89th Annual Meeting Transportation Research Board, Washington (2010)

  10. Lahrmann, H., Agerholm, N., Tradisauskas, N., Berthelsen, K.K., Harms, L.: Pay as You Speed, ISA with incentive for not speeding: Results and interpretation of speed data. Accid. Anal. Prev. 48, 17–28 (2012)

    Article  Google Scholar 

  11. Holm, J., Foller, J., Overgaard Hansen, Ch.: GPS Data as Source For A National Travel Time Database. 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services, Stockholm (2009)

  12. Holm, J., Foller, J., Overgaard Hansen, Ch.: Probe Speeds for National Traffic Information. 18th World Congress on Intelligent Transportation Systems, Orlando (2011)

  13. Namaki Araghi, B.: Using the k-NN Method for Incident Duration Prediction based on TPEG data, MSc Thesis, Centre for Transport Studies, Imperial College London, UK (2010)

  14. Araghi, B. N., Tørholm Christensen, L., Krishnan, R., Hammershøj Olesen, J., & Lahrmann, H.: Use of Low-Level Sensor Data to Improve the Accuracy of Bluetooth-Based Travel Time Estimation. Paper published at Journal of Transportation Research Record, Vol. 2338. Urban and Traffic Data Systems, 2013, Vol. 1, pp. 29–34 (2013)

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Acknowledgments

The authors acknowledge the continuous support and contributions of the Danish Road Directorate and Blip Systems, both in terms of financial support and data provision.

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Correspondence to Bahar Namaki Araghi.

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Namaki Araghi, B., Skoven Pedersen, K., Tørholm Christensen, L. et al. Accuracy of Travel Time Estimation Using Bluetooth Technology: Case Study Limfjord Tunnel Aalborg. Int. J. ITS Res. 13, 166–191 (2015). https://doi.org/10.1007/s13177-014-0094-z

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  • DOI: https://doi.org/10.1007/s13177-014-0094-z

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