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Visualization analysis of traffic congestion based on floating car data
1. | School of Information Engineering, Chang’an University, Xi’an, Shaanxi 710064, China, China, China, China |
References:
[1] |
M. Bierlaire, J. Chen and J. Newman, A probabilistic map matching method for smartphone GPS data, Transportation Research Part C Emerging Technologies, 26 (2013), 78-98.
doi: 10.1016/j.trc.2012.08.001. |
[2] |
M. Y. Cao and D. Y. Yu, Pseudocolor coding of gray image based on perceptual color space, Optical Technology, 28 (2002), 338-367. |
[3] |
B. Y. Chen, H. Yuan and Q. Lam, Map-matching algorithm for large-scale low-frequency floating car data, International Journal of Geographical Information Science, 28 (2014), 22-38.
doi: 10.1080/13658816.2013.816427. |
[4] |
F. Chen, M. Shen and Y. Tang, Local path searching based map matching algorithm for floating car data, Procedia Environmental Sciences, 10 (2011), 576-582.
doi: 10.1016/j.proenv.2011.09.093. |
[5] |
J. S. Greenfeld, Matching GPS observations to locations on a digital map, in Proceedings of Annual Meeting of the Transportation Research Board Washington D C., 2002. |
[6] |
J. Guo, W. Huang and B. M. Williams, Real time traffic flow outlier detection using short-term traffic conditional variance prediction, Transportation Research Part C Emerging Technologies, 50 (2015), 160-172.
doi: 10.1016/j.trc.2014.07.005. |
[7] |
J. Hu, X. Peng and Z. Xu, Study of gray image pseudo-color processing algorithms, in Proc. SPIE 8415 International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 8415, International Society for Optics and Photonics, 2012, 842519.
doi: 10.1117/12.977197. |
[8] |
G. Y. Jiang, A. D. Chang and Q. Li, Estimation models for average speed of traffic flow based on GPS data of taxi, Journal of Southwest Jiaotong University, 46 (2011), 638-644. |
[9] |
Y. Lou, C. Zhang and Y. Zheng, et al., Map-matching for low-sampling-rate GPS trajectories, ACM SIGSPATIAL GIS 2009, 2009, 352-361.
doi: 10.1145/1653771.1653820. |
[10] |
S. Messelodi, M. C. Modena and M. Zanin, Intelligent extended floating car data collection, Expert Systems with Applications, 36 (2009), 4213-4227.
doi: 10.1016/j.eswa.2008.04.008. |
[11] |
T. Miwa, D. Kiuchi and T. Yamamoto, Development of map matching algorithm for low frequency probe data, Transportation Research Part C Emerging Technologies, 22 (2012), 132-145.
doi: 10.1016/j.trc.2012.01.005. |
[12] |
M. A. Quddus, W. Y. Ochieng and L. Zhao, A general map matching algorithm for transport telematics applications, GPS Solutions, 7 (2003), 157-167.
doi: 10.1007/s10291-003-0069-z. |
[13] |
N. R. Velaga and A. L. Bristow, Developing an enhanced weight-based topological map-matching algorithm for intelligent transport systems, Transportation Research Part C Emerging Technologies, 17 (2009), 672-683.
doi: 10.1016/j.trc.2009.05.008. |
[14] |
H. Yang, S. Cheng and H. Jiang, An enhanced weight-based topological map matching algorithm for intricate urban road network, Procedia Social and Behavioral Sciences, 96 (2013), 1670-1678.
doi: 10.1016/j.sbspro.2013.08.189. |
[15] |
J. S. Yang, S. P. Kang and K. S. Chon, The map matching algorithm of GPS data with relatively long polling time intervals, Journal of the Eastern Asia Society for Transportation Studies, 6 (2005), 2561-2573. |
[16] |
Q. Yuan, Z. Liu and J. Li, A traffic congestion detection and information dissemination scheme for urban expressways using vehicular networks, Transportation Research Part C Emerging Technologies, 47 (2014), 114-127.
doi: 10.1016/j.trc.2014.08.001. |
[17] |
Y. C. Zhang, X. Q. Zuo and L. T. Zhang, Traffic congestion detection based on GPS floating-car data, Procedia Engineering, 15 (2011), 5541-5546. |
[18] |
Y. Zheng and M. A. Cheng, Weight-based shortest-path aided map matching algorithm for low-frequency positioning data, Transportation Research Board Meeting, 2011. |
[19] |
S. Zhong, X. Y. Jiang and Z. Wei, Pseudo-Color Coding with phase modulated image density, in International Conference on Micro/Nano Optical Engineering (ICOME), 2011. |
show all references
References:
[1] |
M. Bierlaire, J. Chen and J. Newman, A probabilistic map matching method for smartphone GPS data, Transportation Research Part C Emerging Technologies, 26 (2013), 78-98.
doi: 10.1016/j.trc.2012.08.001. |
[2] |
M. Y. Cao and D. Y. Yu, Pseudocolor coding of gray image based on perceptual color space, Optical Technology, 28 (2002), 338-367. |
[3] |
B. Y. Chen, H. Yuan and Q. Lam, Map-matching algorithm for large-scale low-frequency floating car data, International Journal of Geographical Information Science, 28 (2014), 22-38.
doi: 10.1080/13658816.2013.816427. |
[4] |
F. Chen, M. Shen and Y. Tang, Local path searching based map matching algorithm for floating car data, Procedia Environmental Sciences, 10 (2011), 576-582.
doi: 10.1016/j.proenv.2011.09.093. |
[5] |
J. S. Greenfeld, Matching GPS observations to locations on a digital map, in Proceedings of Annual Meeting of the Transportation Research Board Washington D C., 2002. |
[6] |
J. Guo, W. Huang and B. M. Williams, Real time traffic flow outlier detection using short-term traffic conditional variance prediction, Transportation Research Part C Emerging Technologies, 50 (2015), 160-172.
doi: 10.1016/j.trc.2014.07.005. |
[7] |
J. Hu, X. Peng and Z. Xu, Study of gray image pseudo-color processing algorithms, in Proc. SPIE 8415 International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 8415, International Society for Optics and Photonics, 2012, 842519.
doi: 10.1117/12.977197. |
[8] |
G. Y. Jiang, A. D. Chang and Q. Li, Estimation models for average speed of traffic flow based on GPS data of taxi, Journal of Southwest Jiaotong University, 46 (2011), 638-644. |
[9] |
Y. Lou, C. Zhang and Y. Zheng, et al., Map-matching for low-sampling-rate GPS trajectories, ACM SIGSPATIAL GIS 2009, 2009, 352-361.
doi: 10.1145/1653771.1653820. |
[10] |
S. Messelodi, M. C. Modena and M. Zanin, Intelligent extended floating car data collection, Expert Systems with Applications, 36 (2009), 4213-4227.
doi: 10.1016/j.eswa.2008.04.008. |
[11] |
T. Miwa, D. Kiuchi and T. Yamamoto, Development of map matching algorithm for low frequency probe data, Transportation Research Part C Emerging Technologies, 22 (2012), 132-145.
doi: 10.1016/j.trc.2012.01.005. |
[12] |
M. A. Quddus, W. Y. Ochieng and L. Zhao, A general map matching algorithm for transport telematics applications, GPS Solutions, 7 (2003), 157-167.
doi: 10.1007/s10291-003-0069-z. |
[13] |
N. R. Velaga and A. L. Bristow, Developing an enhanced weight-based topological map-matching algorithm for intelligent transport systems, Transportation Research Part C Emerging Technologies, 17 (2009), 672-683.
doi: 10.1016/j.trc.2009.05.008. |
[14] |
H. Yang, S. Cheng and H. Jiang, An enhanced weight-based topological map matching algorithm for intricate urban road network, Procedia Social and Behavioral Sciences, 96 (2013), 1670-1678.
doi: 10.1016/j.sbspro.2013.08.189. |
[15] |
J. S. Yang, S. P. Kang and K. S. Chon, The map matching algorithm of GPS data with relatively long polling time intervals, Journal of the Eastern Asia Society for Transportation Studies, 6 (2005), 2561-2573. |
[16] |
Q. Yuan, Z. Liu and J. Li, A traffic congestion detection and information dissemination scheme for urban expressways using vehicular networks, Transportation Research Part C Emerging Technologies, 47 (2014), 114-127.
doi: 10.1016/j.trc.2014.08.001. |
[17] |
Y. C. Zhang, X. Q. Zuo and L. T. Zhang, Traffic congestion detection based on GPS floating-car data, Procedia Engineering, 15 (2011), 5541-5546. |
[18] |
Y. Zheng and M. A. Cheng, Weight-based shortest-path aided map matching algorithm for low-frequency positioning data, Transportation Research Board Meeting, 2011. |
[19] |
S. Zhong, X. Y. Jiang and Z. Wei, Pseudo-Color Coding with phase modulated image density, in International Conference on Micro/Nano Optical Engineering (ICOME), 2011. |
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