Abstract
To realize the relationship between traffic flow and occupancy of the national freeway system in Taiwan, this study analyzes the statistical distributions of traffic flow and occupancy data collected by vehicle detectors of the Freeway No. 1. The Kolmogorov-Smirnov test was adopted to test and analyze the statistical distributions of traffic flow by individual occupancy intervals, and the statistical distributions of occupancy by individual traffic flow levels. The numerical study results indicate that the traffic flow in individual occupancy intervals shows a normal distribution. We deduce that the expected value can present traffic flow in individual occupancy intervals. In addition, the mean value and mode value of traffic flow in individual occupancy intervals exhibits a continuous two-region concave curve relationship. The findings of this study would have policy implications for the freeway bureau in conducting related traffic control strategies and providing road users with traffic bottleneck information for traffic rerouting and other purposes.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015 |
| Subtitle of host publication | Urban Transport Analytics |
| Editors | Sylvia Y. He, Yong-Hong Kuo, C.H. Cheng, Janny M.Y. Leung |
| Publisher | Hong Kong Society for Transportation Studies Limited |
| Pages | 363-370 |
| Number of pages | 8 |
| ISBN (Electronic) | 9789881581440 |
| Publication status | Published - 2015 Jan 1 |
| Event | 20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015 - Hong Kong, Hong Kong Duration: 2015 Dec 12 → 2015 Dec 14 |
Publication series
| Name | Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics |
|---|
Other
| Other | 20th International Conference of Hong Kong Society for Transportation Studies: Urban Transport Analytics, HKSTS 2015 |
|---|---|
| Country | Hong Kong |
| City | Hong Kong |
| Period | 15-12-12 → 15-12-14 |
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All Science Journal Classification (ASJC) codes
- Transportation
Cite this
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Analysis of the statistical distributions of freeway traffic flow and occupancy data in Taiwan. / Hu, Shou-Ren; Chou, C. C.; Chen, Y. N.
Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics. ed. / Sylvia Y. He; Yong-Hong Kuo; C.H. Cheng; Janny M.Y. Leung. Hong Kong Society for Transportation Studies Limited, 2015. p. 363-370 (Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Analysis of the statistical distributions of freeway traffic flow and occupancy data in Taiwan
AU - Hu, Shou-Ren
AU - Chou, C. C.
AU - Chen, Y. N.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - To realize the relationship between traffic flow and occupancy of the national freeway system in Taiwan, this study analyzes the statistical distributions of traffic flow and occupancy data collected by vehicle detectors of the Freeway No. 1. The Kolmogorov-Smirnov test was adopted to test and analyze the statistical distributions of traffic flow by individual occupancy intervals, and the statistical distributions of occupancy by individual traffic flow levels. The numerical study results indicate that the traffic flow in individual occupancy intervals shows a normal distribution. We deduce that the expected value can present traffic flow in individual occupancy intervals. In addition, the mean value and mode value of traffic flow in individual occupancy intervals exhibits a continuous two-region concave curve relationship. The findings of this study would have policy implications for the freeway bureau in conducting related traffic control strategies and providing road users with traffic bottleneck information for traffic rerouting and other purposes.
AB - To realize the relationship between traffic flow and occupancy of the national freeway system in Taiwan, this study analyzes the statistical distributions of traffic flow and occupancy data collected by vehicle detectors of the Freeway No. 1. The Kolmogorov-Smirnov test was adopted to test and analyze the statistical distributions of traffic flow by individual occupancy intervals, and the statistical distributions of occupancy by individual traffic flow levels. The numerical study results indicate that the traffic flow in individual occupancy intervals shows a normal distribution. We deduce that the expected value can present traffic flow in individual occupancy intervals. In addition, the mean value and mode value of traffic flow in individual occupancy intervals exhibits a continuous two-region concave curve relationship. The findings of this study would have policy implications for the freeway bureau in conducting related traffic control strategies and providing road users with traffic bottleneck information for traffic rerouting and other purposes.
UR - http://www.scopus.com/inward/record.url?scp=84964324432&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964324432&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84964324432
T3 - Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015: Urban Transport Analytics
SP - 363
EP - 370
BT - Proceedings of the 20th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2015
A2 - He, Sylvia Y.
A2 - Kuo, Yong-Hong
A2 - Cheng, C.H.
A2 - Leung, Janny M.Y.
PB - Hong Kong Society for Transportation Studies Limited
ER -