All Issue

2021 Vol.39, Issue 2 Preview Page

Article

April 2021. pp. 164-176
Abstract
References
1
Cheon S., Park I., Park Y., Kim S. (2014), Improving Estimation for Road Traffic Congestion Cost Using Car Navigation Information, The Korea Transport Institute.
2
Elhenawy M., Chen H., Rakha H. (2015), Traffic Congestion Identification Considering Weather and Visibility Conditions Using Mixture Linear Regression, Transportation Research Board 94th Annual Meeting. 10.5220/0005791400390048
3
FHWA (2016), 2015 Urban Congestion Trends: Communicating Improved Operation with Big Data, Accessed August, https://ops.fhwa.dot.gov/publications/fhwahop16032/fhwahop16032.pdf.
4
FHWA (2017), Recurring Traffic Bottlenecks: A Primer Focus on Low-Cost Operational Improvements (Fourth Edition), Accessed November, https://ops.fhwa.dot.gov/publications/fhwahop18013/fhwahop18013.pdf.
5
Hale D., Hajbabaie A., Ma J., Hu J., Park H., Bared J. (2016a), Proposed Data-Driven Performance Measures for Comparing and Ranking Traffic Bottlenecks, Transportation Research Procedia, 15, 483-494. 10.1016/j.trpro.2016.06.041
6
Hale D., Jagannathan R., Xyntarakis M., Su P., Jiang X., Ma J., Hu J., Krause C. (2016b), Traffic bottlenecks: identification and Solutions, U.S. Department of Transportation Federal Highway Administration.
7
He F., Yan X., Liu Y., Ma L. (2016), A Traffic Congestion Assessment Method for Urban Road Networks Based on Speed Performance Index, Procedia Engineering, 137, 425-433. 10.1016/j.proeng.2016.01.277
8
Kidando E., Moses R., Ozguven E., Sando T. (2017), Evaluating Traffic Congestion Using the Traffic Occupancy and Speed Distribution Relationship: An Application of Bayesian Dirichlet Process Mixtures of Generalized Linear Model, Journal of Transportation Technologies, 7(3), 318-335. 10.4236/jtts.2017.73021
9
Lomax T. J. (1997), NCHRP Report 398: Quantifying congestion: Volume 1, Transportation Research Board.
10
Lund A., Pack M., Plaisant C., Franz M. (2017), Algorithms for Identifying and Ranking Bottlenecks Using Probe Data, Transportation Research Board 96th Annual Meeting.
11
Rao A., Rao K. (2012), Measuring Urban Traffic Congestion-a review, International Journal for Traffic and Transport Engineering, 2(4), 286-305. 10.7708/ijtte.2012.2(4).01
12
Rao A., Rao K. (2016), Identification of Traffic Congestion on Urban Arterials for Heterogeneous Traffic, Transport Problems, 11(3), 131-142. 10.20858/tp.2016.11.3.13
13
Rui L., Zhang Y., Huang H., Qiu X. (2018), A New Traffic Congestion Detection and Quantification Method Based on Comprehensive Fuzzy Assessment in VANET, KSII Transactions on Internet and Information Systems, 12(1), 41-60. 10.3837/tiis.2018.01.003
14
Sisiopiku V. P., Rostami-Hosuri S. (2017), Congestion Quantification Using the National Performance Management Research Data Set, Data, 2(4), 39. 10.3390/data2040039
15
Stopher P. (2004), Reducing Road Congestion:A Reality Check, Transport Policy, 11(2), 117-131. 10.1016/j.tranpol.2003.09.002
16
Susilo B., Imanuel I. (2018), Traffic Congestion Analysis Using Travel Time Ratio and Degree of Saturation on Road Sections in Palembang, Bandung, Yogyakarta, and Surakarta, MATEC Web of Conferences, 181, Article Number 06010. 10.1051/matecconf/201818106010
17
Thakur S., Singh R. (2016), A Review of Traffic Congestion Problem and Various Automated Traffic Measurement Sensors and Technique, Indian Journal of Science and Technology, 9(47), 1-16. 10.17485/ijst/2016/v9i47/106902
Information
  • Publisher :Korean Society of Transportation
  • Publisher(Ko) :대한교통학회
  • Journal Title :Journal of Korean Society of Transportation
  • Journal Title(Ko) :대한교통학회지
  • Volume : 39
  • No :2
  • Pages :164-176
  • Received Date :2020. 09. 01
  • Revised Date :2020. 09. 22
  • Accepted Date : 2021. 02. 09