International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 14, No. 2, 8 Apr. 2022
Cover page and Table of Contents: PDF (size: 354KB)
Road Rush: A Review on Road Traffic Analytics Systems and A Proposed Alternative
Full Text (PDF, 354KB), PP.54-63
Views: 0 Downloads: 0
Author(s)
Kaniz Fatema Fomy
1,*
Ashik Mahmud
1
Musabbir Islam
1
Shamsur Rahim
1
Index Terms
Road traffic congestion, road traffic analytics, smart city, real-time road traffic status, road traffic prediction, travel time prediction, route recommendation, departure time suggestion
Abstract
Road traffic congestion is a recurring occurrence causing enormous loss of valuable working hours around the world. It is impossible to eradicate such a problem overnight. Rather it could be handled intelligently with the help of modern technologies. Researchers and practitioners have introduced several algorithms, frameworks, systems to mitigate traffic congestion. This paper presents a systematic literature review on existing research and critically analyze the applications on traffic analytics systems. After designing a review protocol, each work was evaluated based on the five research questions and criteria. After critically and carefully analyzing the existing works, this paper also identified the advantages as well as the limitations of the existing approaches towards solving traffic congestion. Based on the findings, a prototype of a mobile application is proposed that can be considered as an improved alternative to the existing works. Finally, this study provides future research directions and improvement scopes in this field.
Cite This Paper
Kaniz Fatema Fomy, Ashik Mahmud, Musabbir Islam and Shamsur Rahim, "Road Rush: A Review on Road Traffic Analytics Systems and A Proposed Alternative", International Journal of Information Technology and Computer Science(IJITCS), Vol.14, No.2, pp.54-63, 2022. DOI: 10.5815/ijitcs.2022.02.05
Reference
[1] Traffic jam in Dhaka eats up 3.2m working hrs every day: WB. Retrieved from: https://goo.gl/sZzfmG.
[2] Eric Horvitz, Johnson Apacible, Raman Sarin, Lin Liao, “Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service”, 2012.
[3] B. A. Kitchenham and S. Charters, "Guidelines for performing systematic literature reviews in software engineering," 2007.
[4] Duc-Thinh Pham, Bao An Mai Hoang, Son Nguyen Thanh, Ha Nguyen & Vu Duong, “A Constructive Intelligent Transportation System for Urban Traffic Network in Developing Countries via GPS Data from Multiple Transportation Modes”, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.
[5] Freddy Lécué, Simone Tallevi-Diotallevi, Jer Hayes, Robert Tucker, Veli Bicer, Marco Sbodio, Pierpaolo Tommasi, “Smart Traffic Analytics in the Semantic Web with STAR-CITY: Scenarios, System and Lessons Learned in Dublin City”, Web Semantics: Science, Services and Agents on the World Wide Web, vol. 27–28, 2014, pp. 26-33.
[6] Diego Serrano, Teresa Baldassarre, Eleni Stroulia, “Real-time Traffic-based Routing, based on Open Data and Open-Source Software”, 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT).
[7] Kostas Patroumpas and Timos Sellis, “Event Processing and Real-time Monitoring over Streaming Traffic Data”, 11th International Symposium, W2GIS 2012, pp. 116-133.
[8] Pengfei Zhou, Shiqi Jiang and Mo Li, “Urban Traffic Monitoring with the Help of Bus Riders”, 2015 IEEE 35th International Conference on Distributed Computing Systems.
[9] Milos Roganovic, Dragan Stojanovic, Bratislav Predic, “A Real-Time Traffic Information Service for Efficient Navigation and Transport Management”, AGILE 2011.
[10] Long Liu, Jin Xu, Stephen Shaoyi Liao, Huaping Chen, “A real-time personalized route recommendation system for self-drive tourists based on vehicle to vehicle communication”, Expert Systems with Applications, vol. 41, 1 June 2014, pp. 3409-3417.
[11] Google Traffic Description. Retrieved from: https://goo.gl/3nUzxS.
[12] NZ Traffic. Retrieved from: https://goo.gl/HYX9zU.
[13] 31. Waze. Retrieved from: https://goo.gl/DAz4AS.
[14] 22. Inrix Traffic. Retrieved from: https://goo.gl/m6m2CL.
[15] 36. Traffic Watch. Retrieved from: https://goo.gl/EPLEVC.
[16] Kmov Traffic. Retrieved from: https://goo.gl/6JuuP3.
[17] Wasalny Traffic. Retrieved from: https://goo.gl/k1khZc.
[18] Eric Horvitz, Johnson Apacible, Raman Sarin, Lin Liao, “Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service”, 2012.
[19] Duc-Thinh Pham, Bao An Mai Hoang, Son Nguyen Thanh, Ha Nguyen & Vu Duong, “A Constructive Intelligent Transportation System for Urban Traffic Network in Developing Countries via GPS Data from Multiple Transportation Modes”, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.
[20] Wanli Min, Laura Wynter, “Real-time road traffic prediction with spatio-temporal correlations”, Transportation Research Part C: Emerging Technologies, vol. 19, Issue 4, Aug. 2011, pp. 606-616.
[21] MD. Al Amin, MD. Rofi Uddin, “Real Time Traffic Monitoring System Using Crowd Sourced GPS Data”, BRAC University, pp. 5-61.
[22] Oliver B. Downs, Craig H. Chapman, Alec Barker, “DYNAMIC TIME SERIES PREDICTION OF FUTURE TRAFFIC CONDITIONS”, US Patent, Patent NO: US 8,065,073 B2, 2011.
[23] Corrado de Fabritiis, Roberto Ragona, Gaetano Valenti, “Traffic Estimation And Prediction Based On Real Time Floating Car Data”, 2008 11th International IEEE Conference on Intelligent Transportation Systems.
[24] Traffic Reports. Retrieved from: https://goo.gl/bfndDU.
[25] Darrb user review. Retrieved from: https://goo.gl/QcfjzD.
[26] Han Su, Kai Zheng, Jiamin Huang, Hoyoung Jeung, Lei Chen, Xiaofang Zhou, “CrowdPlanner: A Crowd-Based Route Recommendation System”, 2014 IEEE 30th International Conference on Data Engineering, pp. 1144-1155.
[27] Bi Yu CHEN, William H.K. LAM, Mei Lam TAM, “Modeling Departure Time and Route Choice Problems in Stochastic Road Networks for Online ATIS Applications”, Journal of the Eastern Asia Society for Transportation Studies, Vol. 8, 2010, pp 1796-1805.
[28] Route4Me Route Planner. Retrieved from: https://goo.gl/cxTcpQ.
[29] Kanok Boriboonsomsin, Matthew J. Barth, Weihua Zhu and Alexander Vu, “Eco-Routing Navigation System Based on Multisource Historical and Real-Time Traffic Information”, IEEE Transactions on Intelligent Transportation Systems, Vol. 13, Issue: 4, 2012, pp. 1694 – 1704.
[30] Inrix Traffic user review. Retrieved from: https://goo.gl/1e629E.
[31] Inrix Traffic user review. Retrieved from: https://goo.gl/N5oZMm.
[32] Inrix Traffic user review. Retrieved from: https://goo.gl/5w3xB9.
[33] J. W. C. van Lint, “Online Learning Solutions for Freeway Travel Time Prediction”, IEEE Transactions on Intelligent Transportation Systems, vol. 9, March 2008, pp. 38 – 47.
[34] Panita Pongpaibool, Poj Tangamchit, Kanokchai Noodwong, “Evaluation of Road Traffic Congestion Using Fuzzy Techniques”, TENCON 2007 - 2007 IEEE Region 10 Conference.
[35] Abbas Khosravi, Ehsan Mazloumi, Saeid Nahavandi, Doug Creighton, J. W. C. Van Lint, “A Genetic Algorithm-based Method for Improving Quality of Travel Time Prediction Intervals”, Transportation Research Part C: Emerging Technologies, Vo. 19, Issue 6, December 2011, pp. 1364-1376.
[36] Tongyu Zhu, Xueping Kong, Weifeng Lv, “Large-Scale Travel Time Prediction for Urban Arterial Roads Based on Kalman Filter”, 2009 International Conference on Computational Intelligence and Software Engineering.
[37] Qing-Jie Kong, Qiankun Zhao, Chao Wei, Yuncai Liu, “Efficient Traffic State Estimation for Large-Scale Urban Road Networks”, IEEE Transactions on Intelligent Transportation Systems, Vol. 14, Issue: 1, March 2013, pp. 398 – 407.
[38] Kong, Xiangjie, et al. "Shared subway shuttle bus route planning based on transport data analytics." IEEE Transactions on Automation Science and Engineering 99 (2018): 1-14.
[39] Pérez, Juan Luis, et al. "A resilient and distributed near real-time traffic forecasting application for Fog computing environments." Future Generation Computer Systems 87 (2018): 198-212.
[40] Zhao, Pengjun, and Haoyu Hu. "Geographical patterns of traffic congestion in growing megacities: Big data analytics from Beijing." Cities 92 (2019): 164-174
[41] Google Traffic. Retrieved from https://goo.gl/fMWd8x.
[42] UDOT Traffic. Retrieved from: https://goo.gl/EeeAEy.
[43] UDOT User Review. Retrieved from: https://goo.gl/aaNkvi.
[44] UDOT User Review. Retrieved from: https://goo.gl/VKdjJN.
[45] UDOT User Review. Retrieved from: https://goo.gl/R7jaeD.
[46] UDOT User Review. Retrieved from: https://goo.gl/UmzEeV.
[47] Waze user review. Retrieved from: https://goo.gl/sdBeZh.
[48] Darb. Retrieved from: https://goo.gl/zCm3Ak.
[49] Darb use review. Retrieved from: https://goo.gl/tdEssV.
[50] GO Traffic. Retrieved from: https://goo.gl/5Veozt.
[51] Go Traffic user review. Retrieved from: https://goo.gl/puFVKF.
[52] Go Traffic user review. Retrieved from: https://goo.gl/4h9ztW.
[53] Go Traffic user review. Retrieved from: https://goo.gl/6yxpQx.
[54] Go Traffic user review. Retrieved from: https://goo.gl/fjnQh2.
[55] JamKoi Real Time Traffic. Retrieved from: https://goo.gl/m3WBsX.
[56] JamKoi Real Time Traffic user review. Retrieved from: https://goo.gl/DfnMrr.
[57] JamKoi Real Time Traffic user review. Retrieved from: https://goo.gl/JMtGfg.
[58] JamKoi Real Time Traffic user review. Retrieved from: https://goo.gl/f8KyZK.
[59] Ma3route. Retrieved from: https://goo.gl/dnXSR2.
[60] Ma3route user review. Retrieved from: https://goo.gl/JvFzhw.
[61] Route4Me Route Planner description. Retrieved from: https://youtu.be/vSi5wzeRQlg.
[62] Route4Me Route Planner user review. Retrieved from: https://goo.gl/xgd34C.
[63] Route4Me Route Planner user review. Retrieved from: https://goo.gl/FjyWDn.
[64] Live Traffic NSW. Retrieved from: https://goo.gl/UETBHh.
[65] Live Traffic NSW user review. Retrieved from: https://goo.gl/j76fXR.
[66] Live Traffic NSW user review. Retrieved from: https://goo.gl/vjhcxp.
[67] Live Traffic NSW user review. Retrieved from: https://goo.gl/6PQdyz
[68] Traffic Watch user review. Retrieved from: https://goo.gl/4RdkJs.
[69] Traffic Watch user review. Retrieved from: https://goo.gl/fJDeuc.
[70] Wasalny Traffic user review. Retrieved from: https://goo.gl/EDzfG3.
[71] Wasalny Traffic user review. Retrieved from: https://goo.gl/g7mvcb.
[72] Wasalny Traffic user review. Retrieved from: https://goo.gl/wo2vze.