Conference Paper2021

Modeling traffic congestion in developing countries using google maps data

Md Aktaruzzaman Pramanik, Md Mahbubur Rahman, ASM Iftekhar Anam, Amin Ahsan Ali, M Ashraful Amin, AKM Mahbubur Rahman

Advances in Information and Communication: Proceedings of the 2021 Future of Information and Communication Conference (FICC), Volume 1

Springer International Publishing, pp. 513–531, ISBN: 9783030730994

CCDS Authors

References

  1. 1.Bing Yu, Haoteng Yin, Zhanxing Zhu. (2018). Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. , 3634–3640[10.24963/ijcai.2018/505]
  2. 2.Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan. (2019). Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 922–929[10.1609/aaai.v33i01.3301922]
  3. 3.Zhiyong Cui, Kristian Henrickson, Ruimin Ke, Yinhai Wang. (2019). Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting. IEEE Transactions on Intelligent Transportation Systems, 21(11), 4883–4894[10.1109/tits.2019.2950416]
  4. 4.Chao Chen, Karl Petty, Alexander Skabardonis, Pravin Varaiya, Zhanfeng Jia. (2001). Freeway Performance Measurement System: Mining Loop Detector Data. Transportation Research Record Journal of the Transportation Research Board, 1748(1), 96–102[10.3141/1748-12]
  5. 5.Kan Guo, Yongli Hu, Sean Qian, Hao Liu, Ke Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin. (2020). Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems, 22(2), 1138–1149[10.1109/tits.2019.2963722]
  6. 6.Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng. (2019). Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 485–492[10.1609/aaai.v33i01.3301485]
  7. 7.Zhidan Liu, Zhenjiang Li, Kaishun Wu, Mo Li. (2018). Urban Traffic Prediction from Mobility Data Using Deep Learning. IEEE Network, 32(4), 40–46[10.1109/mnet.2018.1700411]
  8. 8.Taghreed Alghamdi, Khalid Elgazzar, Magdi Bayoumi, Taysseer Sharaf, Sumit Shah. (2019). Forecasting Traffic Congestion Using ARIMA Modeling. , 1227–1232[10.1109/iwcmc.2019.8766698]
  9. 9.Yuxuan Zhang, Senzhang Wang, Bing Chen, Jiannong Cao, Zhiqiu Huang. (2019). TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets. IEEE Transactions on Intelligent Transportation Systems, 22(1), 219–230[10.1109/tits.2019.2955794]
  10. 10.Adnan Akbar, Abdullah Aman Khan, François Carrez, Klaus Moessner. (2017). Predictive Analytics for Complex IoT Data Streams. IEEE Internet of Things Journal, 4(5), 1571–1582[10.1109/jiot.2017.2712672]
  11. 11.Bharti Sharma, Sachin Kumar, Prayag Tiwari, Pranay Yadav, Marina I. Nezhurina. (2018). ANN based short-term traffic flow forecasting in undivided two lane highway. Journal Of Big Data, 5(1)[10.1186/s40537-018-0157-0]
  12. 12.Jorge Luis Zambrano-Martínez, Carlos T. Calafate, David Soler, Juan‐Carlos Cano, Pietro Manzoni. (2018). Modeling and Characterization of Traffic Flows in Urban Environments. Sensors, 18(7), 2020[10.3390/s18072020]
  13. 13.Xiangyang Chen, Ruqing Chen. (2019). A Review on Traffic Prediction Methods for Intelligent Transportation System in Smart Cities. , 1–5[10.1109/cisp-bmei48845.2019.8965742]
  14. 14.Khaled Mahmud, Khonika Gope, Syed Mustafizur Rahman Chowdhury. (2012). Possible Causes & Solutions of Traffic Jam and Their Impact on the Economy of Dhaka City. Journal of Management and Sustainability, 2(2)[10.5539/jms.v2n2p112]
  15. 15.Mir Shabbar Ali, Muhammad Adnan, Syed Muhammad Noman, Syed Fazal Abbas Baqueri. (2014). Estimation of Traffic Congestion Cost-A Case Study of a Major Arterial in Karachi. Procedia Engineering, 77, 37–44[10.1016/j.proeng.2014.07.030]
  16. 16.Christos Faloutsos, Jan Gasthaus, Tim Januschowski, Yuyang Wang. (2019). Classical and Contemporary Approaches to Big Time Series Forecasting. , 2042–2047[10.1145/3299869.3314033]
  17. 17.Zimu Zheng, Dan Wang, Jian Pei, Yi Yuan, Cheng Fan, Fu Xiao. (2016). Urban Traffic Prediction through the Second Use of Inexpensive Big Data from Buildings. , 1363–1372[10.1145/2983323.2983357]
  18. 18.John C. Falcocchio, Herbert S. Levinson. (2015). The Costs and Other Consequences of Traffic Congestion. Springer tracts on transportation and traffic, 159–182[10.1007/978-3-319-15165-6_13]
  19. 19.Md. Maksudur Rahman, M M Mahmudunnabi Shuvo, Moinul Zaber, Amin Ahsan Ali. (2018). Traffic Pattern Analysis from GPS Data: A Case Study of Dhaka City. , 1–6[10.1109/conecct.2018.8482371]
  20. 20.Afzal Ahmed, Syed Ahsan Ali Naqvi, David Watling, Dong Ngoduy. (2019). Real-Time Dynamic Traffic Control Based on Traffic-State Estimation. Transportation Research Record Journal of the Transportation Research Board, 2673(5), 584–595[10.1177/0361198119838842]
  21. 21.S.M. Labib, Hossain Mohiuddin, Irfan Mohammad Al Hasib, Shariful Hasnine Sabuj, Shrabanti Hira. (2019). Integrating Data Mining and Microsimulation Modelling to Reduce Traffic Congestion: A Case Study of Signalized Intersections in Dhaka, Bangladesh. Urban Science, 3(2), 41[10.3390/urbansci3020041]
  22. 22.Hnin Thant Lwin, Thinn Thu Naing. (2015). Estimation of Road Traffic Congestion using GPS Data. IJARCCE, 4(12), 1–5[10.17148/ijarcce.2015.41201]
  23. 23.Ying Zhong, Xin Xie, Jingjing Guo, Qing Wang, Songlin Ge. (2018). A new method for short-term traffic congestion forecasting based on LSTM. IOP Conference Series Materials Science and Engineering, 383, 012043[10.1088/1757-899x/383/1/012043]
  24. 24.Fahmina Nur Salma, Shazzad Hosain. (2018). Enhancing Mixed Road Traffic Forecasting Method using Vehicle Tracking System in GPS. 2018 International Conference on Computing, Power and Communication Technologies (GUCON), 14–19[10.1109/gucon.2018.8675084]