Sixth International Conference on Transportation Engineering
Estimating Travel Time of a Road Bottleneck Using Bus Probe Data: Toyota City, Japan
Publication: ICTE 2019
ABSTRACT
This paper utilizes low-frequency bus probe data to estimate the travel time of a road bottleneck. The probe data collected from one bus route in six months in Toyota City, Japan, are used for empirical analysis. To investigate the impact of commuting behavior of Toyota Motor Corporation (TMC) which has more than 25,800 workers in Toyota, the Gaussian mixture distribution is applied to fit four groups of bus travel time referring to the combination of working, non-working days of TMC and peak, off-peak periods on weekdays. The major findings indicate that: 1) Gaussian mixture distributions applied for peak and off-peak periods in non-working days of TMC have a bimodal feature; 2) the Gaussian mixture distribution outperforms the Gaussian distribution for the 4 categorized groups, which is indicated by a higher value of the decimal logarithm of likelihood with respect to sample data.
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ACKNOWLEDGMENT
This study is individual-level collaboration research between the first author in TTRI, Japan and the corresponding author in Southwest Jiaotong University, China mainly supported by the research fund of TTRI. The bus probe data used in this study are collected from Bus Location System Management Corporation under the approval of the Transportation Policy Division, Toyota City. The authors will gratitude to the officers in Toyota City and technicians in System Management Corporation for their support for this study.
REFERENCES
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YANG, J., Kato, T. and Ando, R. (2018). “Developing a timely and simple method to evaluate the effect of transportation demand management campaign in Toyota city, Japan”. Proceedings of the 23rd International Conference of Hong Kong Society for Transportation, Hong Kong, People’s Republic of China.
Information & Authors
Information
Published In
ICTE 2019
Pages: 217 - 226
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jan 13, 2020
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