Uneingeschränkter Zugang

Quantitative analysis and model prediction of urban traffic flow optimization by geographic information technology

 und   
14. Nov. 2024

Zitieren
COVER HERUNTERLADEN

Mangiaracina, R., Perego, A., Salvadori, G., & Tumino, A. (2017). A comprehensive view of intelligent transport systems for urban smart mobility. International Journal of Logistics Research and Applications, 20(1), 39-52. Search in Google Scholar

Badi, I., Bouraima, M. B., & Muhammad, L. J. (2023). The role of intelligent transportation systems in solving traffic problems and reducing environmental negative impact of urban transport:. Decision Making and Analysis, 1-9. Search in Google Scholar

Meneguette, R. I., De Grande, R., & Loureiro, A. A. (2018). Intelligent transport system in smart cities. Cham: Springer International Publishing. Search in Google Scholar

Sjoberg, K., Andres, P., Buburuzan, T., & Brakemeier, A. (2017). Cooperative intelligent transport systems in Europe: Current deployment status and outlook. IEEE Vehicular Technology Magazine, 12(2), 89-97. Search in Google Scholar

Dimitrakopoulos, G. J., Uden, L., & Varlamis, I. (2020). The future of intelligent transport systems. Elsevier. Search in Google Scholar

Garg, T., & Kaur, G. (2023). A systematic review on intelligent transport systems. Journal of Computational and Cognitive Engineering, 2(3), 175-188. Search in Google Scholar

Zheng, J., & Huang, M. (2020). Traffic flow forecast through time series analysis based on deep learning. IEEE Access, 8, 82562-82570. Search in Google Scholar

Zhang, Y., Lu, M., & Li, H. (2020). Urban traffic flow forecast based on FastGCRNN. Journal of Advanced Transportation, 2020(1), 8859538. Search in Google Scholar

Guo, S., Lin, Y., Feng, N., Song, C., & Wan, H. (2019, July). Attention based spatial-temporal graph convolutional networks for traffic flow forecasting. In Proceedings of the AAAI conference on artificial intelligence (Vol. 33, No. 01, pp. 922-929). Search in Google Scholar

Lana, I., Del Ser, J., Velez, M., & Vlahogianni, E. I. (2018). Road traffic forecasting: Recent advances and new challenges. IEEE Intelligent Transportation Systems Magazine, 10(2), 93-109. Search in Google Scholar

Kessels, F., Kessels, R., & Rauscher. (2019). Traffic flow modelling. Springer International Publishing. Search in Google Scholar

Storani, F., Di Pace, R., Bruno, F., & Fiori, C. (2021). Analysis and comparison of traffic flow models: a new hybrid traffic flow model vs benchmark models. European transport research review, 13, 1-16. Search in Google Scholar

Zhang, X., & Zhang, H. (2019). Application Research of LOD Technology and the Shortest Path Algorithm in Trafic Geographic Information System. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 1369-1374. Search in Google Scholar

Adanikin, A., Ajayi, J. A., Oyedepo, J., Adeoye, I., & Twaki, D. L. (2023). Traffic Congestion Assessment of Akure Central Business District Using Geographic Information System (GIS). Annals of the Faculty of Engineering Hunedoara, 21(2), 105-110. Search in Google Scholar

Sayed, S. A., Abdelhamid, Y., & Hefny, H. A. (2023). Traffic Flow Prediction Using Big Data and Geographic Information Systems: A Survey of Data Sources, Frameworks, Challenges, and Opportunities. Int. J. Com. Dig. Sys, 14(1). Search in Google Scholar

Talipova, L., Morozova, E., Pestova, D., & Skhvediani, A. (2023). Methodology for Creating a Geographic Information System for Transport Infrastructure Facilities. International Journal of Technology, 14(8). Search in Google Scholar

Lü, G., Batty, M., Strobl, J., Lin, H., Zhu, A. X., & Chen, M. (2019). Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective. International journal of geographical information science, 33(2), 346-367. Search in Google Scholar

Ashara, A. H., Saleh, S., Hassan, U., & Kaura, M. J. (2020, May). Traffic management system in Abuja city center, using Geographic Information Systems (GIS) and Global Positioning System (GPS). A case study of FCT, Nigeria. In Journal of Physics: Conference Series (Vol. 1529, No. 5, p. 052068). IOP Publishing. Search in Google Scholar

Yu, W., Zhang, Y., Ai, T., Guan, Q., Chen, Z., & Li, H. (2020). Road network generalization considering traffic flow patterns. International Journal of Geographical Information Science, 34(1), 119-149. Search in Google Scholar

Essien, A., Petrounias, I., Sampaio, P., & Sampaio, S. (2021). A deep-learning model for urban traffic flow prediction with traffic events mined from twitter. World Wide Web, 24(4), 1345-1368. Search in Google Scholar

Olayode, I. O., Du, B., Tartibu, L. K., & Alex, F. J. (2024). Traffic flow modelling of long and short trucks using a hybrid artificial neural network optimized by particle swarm optimization. International Journal of Transportation Science and Technology, 14, 137-155. Search in Google Scholar

Liu, Z., Lyu, C., Wang, Z., Wang, S., Liu, P., & Meng, Q. (2023). A Gaussian-process-based data-driven traffic flow model and its application in road capacity analysis. IEEE Transactions on Intelligent Transportation Systems, 24(2), 1544-1563. Search in Google Scholar

Khaled Aati,Moustafa Houda,Saleh Alotaibi,Abdul Mateen Khan,Nimer Alselami & Omrane Benjeddou. (2024). Analysis of Road Traffic Accidents in Dense Cities: Geotech Transport and ArcGIS. Transportation Engineering100256-. Search in Google Scholar

Yafeng Chen,Pingan Tan,Mu Li,Han Yin & Rui Tang. (2024). K-means clustering method based on nearest-neighbor density matrix for customer electricity behavior analysis. International Journal of Electrical Power and Energy Systems110165-110165. Search in Google Scholar

Yanhong Li,Haoxiang Xu,Tianyu Zhang,Xuan Li,Guoliang Li & Wei Tian. (2024). DDGformer: Direction- and distance-aware graph transformer for traffic flow prediction. Knowledge-Based Systems112381-112381. Search in Google Scholar

Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere