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Research Article
Development of Pavement Condition Index for Local Street of Pune
S.S.Kori1
Supriya Patil2
Jui Borse3
Priyanka Suryawanshi4
Manisha Borhade5
1 Professor, Civil Department, JSPM’s Imperial College of Engineering and Research, Maharashtra, India. 2345 Civil Department, JSPM’s Imperial College of Engineering and Research, Maharashtra, India.
Published Online: May-June 2023
Pages: 227-229
Cite this article
↗ https://www.doi.org/10.59256/ijire.2023040379
References
1. Chen, Y., & Leng, Z. (2019). Development of pavement condition index models for urban streets using artificial neural networks. Journal
of Cleaner Production, 228, 74-84.
2. Sivakumar, V., Anand, K. B., & Velumani, P. (2020). Development of pavement condition index for urban roads in India.
Transportation Research Procedia, 48, 338-345.
3. Alhassan, M. A., & Kumar, A. (2021). Development of pavement condition index for urban roads in developing countries using
statistical models. Journal of Transportation Engineering, Part A: Systems, 147(10), 04021052Liu Chao. Design and Implementation of
Face recognition System based on Android Platform [D]. Jilin University, 2013.
4. Zhang Peng. The number of users of mobile App in China has exploded [J].Communications World, 2012, 46:11-12
5. Feng, Y., & Sun, Y. (2020). Research on the pavement condition index (PCI) and its influencing factors of urban roads. Journal of
Traffic and Transportation Engineering (English Edition), 7(5), 453-461.
6. Alhassan, M. A., & Kumar, A. (2018). Development of pavement condition index for urban roads in Ghana. Journal of Transportation
Engineering, Part A: Systems, 144(6), 04018028V
of Cleaner Production, 228, 74-84.
2. Sivakumar, V., Anand, K. B., & Velumani, P. (2020). Development of pavement condition index for urban roads in India.
Transportation Research Procedia, 48, 338-345.
3. Alhassan, M. A., & Kumar, A. (2021). Development of pavement condition index for urban roads in developing countries using
statistical models. Journal of Transportation Engineering, Part A: Systems, 147(10), 04021052Liu Chao. Design and Implementation of
Face recognition System based on Android Platform [D]. Jilin University, 2013.
4. Zhang Peng. The number of users of mobile App in China has exploded [J].Communications World, 2012, 46:11-12
5. Feng, Y., & Sun, Y. (2020). Research on the pavement condition index (PCI) and its influencing factors of urban roads. Journal of
Traffic and Transportation Engineering (English Edition), 7(5), 453-461.
6. Alhassan, M. A., & Kumar, A. (2018). Development of pavement condition index for urban roads in Ghana. Journal of Transportation
Engineering, Part A: Systems, 144(6), 04018028V
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