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Transportation Letters
The International Journal of Transportation Research
Volume 3, 2011 - Issue 1
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Original

Temporal aggregation in traffic data: implications for statistical characteristics and model choice

Eleni Vlahogianni
&
Matthew Karlaftis
Pages 37-49 | Published online: 07 Sep 2013

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Yalong Pi, Nick Duffield, Amir Behzadan & Tim Lomax. (2023) Lane-specific speed analysis in urban work zones with computer vision. Traffic Injury Prevention 24:3, pages 242-250.
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Omkar Giraka & Vasantha Kumar Selvaraj. (2020) Short-term prediction of intersection turning volume using seasonal ARIMA model. Transportation Letters 12:7, pages 483-490.
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Christina A. Iliopoulou, Christina P. Milioti, Eleni I. Vlahogianni & Konstantinos L. Kepaptsoglou. (2020) Identifying spatio-temporal patterns of bus bunching in urban networks. Journal of Intelligent Transportation Systems 24:4, pages 365-382.
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Richard Etengu, Saw Chin Tan, Teong Chee Chuah, Ying Loong Lee & Jaime Galán-Jiménez. (2023) AI-assisted traffic matrix prediction using GA-enabled deep ensemble learning for hybrid SDN. Computer Communications 203, pages 298-311.
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Hanchu Zhou & Fangrong Chang. (2022) The long-memory temporal dependence of traffic crash fatality for different types of road users. Physica A: Statistical Mechanics and its Applications 607, pages 128210.
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M.M. Harsha & Raviraj H. Mulangi. (2022) Probability distributions analysis of travel time variability for the public transit system. International Journal of Transportation Science and Technology 11:4, pages 790-803.
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Mike Pereira, Annika Lang & Balázs Kulcsár. (2022) Short-term traffic prediction using physics-aware neural networks. Transportation Research Part C: Emerging Technologies 142, pages 103772.
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Eric L. Manibardo, Ibai Lana & Javier Del Ser. (2022) Deep Learning for Road Traffic Forecasting: Does it Make a Difference?. IEEE Transactions on Intelligent Transportation Systems 23:7, pages 6164-6188.
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Wenqing LiChuhan Yang & Saif Eddin Jabari. (2022) Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning. Transportation Science 56:1, pages 52-78.
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Glykeria Myrovali, Theodoros Karakasidis, Georgia Ayfantopoulou & Maria Morfoulaki. 2022. Proceedings of Sixth International Congress on Information and Communication Technology. Proceedings of Sixth International Congress on Information and Communication Technology 791 804 .
Suhaib Alshayeb, Aleksandar Stevanovic, Nikola Mitrovic & Branislav Dimitrijevic. (2021) Impact of Accurate Detection of Freeway Traffic Conditions on the Dynamic Pricing: A Case Study of I-95 Express Lanes. Sensors 21:18, pages 5997.
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Dmitry Pavlyuk. (2020) Temporal Aggregation Effects in Spatiotemporal Traffic Modelling. Sensors 20:23, pages 6931.
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Zili Li, Zuduo Zheng & Simon Washington. (2020) Short-Term Traffic Flow Forecasting: A Component-Wise Gradient Boosting Approach With Hierarchical Reconciliation. IEEE Transactions on Intelligent Transportation Systems 21:12, pages 5060-5072.
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Jing Li, Jingqiu Guo & Min Qiu. (2020) Injury Severity Analysis of Secondary Incidents. Injury Severity Analysis of Secondary Incidents.
Beda Büchel & Francesco Corman. (2020) Meaningful Modeling of Section Bus Running Times by Time Varying Mixture Distributions of Fixed Components. Transportation Research Record: Journal of the Transportation Research Board 2674:8, pages 626-637.
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Xu Miao, Bing Wu, Yajie Zou & Lingtao Wu. (2020) Examining the Impact of Different Periodic Functions on Short-Term Freeway Travel Time Prediction Approaches. Journal of Advanced Transportation 2020, pages 1-15.
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Rivindu Weerasekera, Mohan Sridharan & Prakash Ranjitkar. (2020) Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms. Journal of Advanced Transportation 2020, pages 1-21.
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Wei Xiao, Mi Gan, Hongling Liu & Xiaobo Liu. (2020) Modeling and Prediction of the Volatility of the Freight Rate in the Roadway Freight Market of China. Mathematical Problems in Engineering 2020, pages 1-15.
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Enhui Chen, Zhirui Ye, Chao Wang & Mingtao Xu. (2020) Subway Passenger Flow Prediction for Special Events Using Smart Card Data. IEEE Transactions on Intelligent Transportation Systems 21:3, pages 1109-1120.
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Huawei Zhai, Ruijie Tian, Licheng Cui, Xiaowei Xu & Weishi Zhang. (2020) A Novel Hierarchical Hybrid Model for Short-Term Bus Passenger Flow Forecasting. Journal of Advanced Transportation 2020, pages 1-16.
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Jianyuan Wang, Biao Leng, Junjie Wu, Heng Du & Zhang Xiong. (2020) MetroEye: A Weather-Aware System for Real-Time Metro Passenger Flow Prediction. IEEE Access 8, pages 129813-129829.
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P.V. Suvin, Ankita R. Karmakar, Sabina Y. Islam & C. Mallikarjuna. (2020) Criteria for Temporal Aggregation of the Traffic Data from a Heterogeneous Traffic Stream. Transportation Research Procedia 48, pages 3401-3412.
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Haiyang Wang, Longyuan Li, Pingjun Pan, Yongkun Wang & Yaohui Jin. (2019) Online detection of abnormal passenger out-flow in urban metro system. Neurocomputing 359, pages 327-340.
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Haiyang Wang, Longyuan Li, Pingjun Pan, Yongkun Wang & Yaohui Jin. (2019) Early warning of burst passenger flow in public transportation system. Transportation Research Part C: Emerging Technologies 105, pages 580-598.
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Feng Guo, Dongqing Zhang, Yucheng Dong & Zhaoxia Guo. (2019) Urban link travel speed dataset from a megacity road network. Scientific Data 6:1.
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Juan S. Angarita-Zapata, Antonio D. Masegosa & Isaac Triguero. (2019) A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access 7, pages 68185-68205.
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JianHua Guo, ChangGuang Li, Xiao Qin, Wei Huang, Yun Wei & JinDe Cao. (2018) Analyzing distributions for travel time data collected using radio frequency identification technique in urban road networks. Science China Technological Sciences 62:1, pages 106-120.
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Ibai Lana, Javier Del Ser, Manuel Velez & Eleni I. Vlahogianni. (2018) Road Traffic Forecasting: Recent Advances and New Challenges. IEEE Intelligent Transportation Systems Magazine 10:2, pages 93-109.
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Jinzhi Liao, Jiuyang Tang, Weixin Zeng & Xiang Zhao. (2018) Efficient and Accurate Traffic Flow Prediction via Incremental Tensor Completion. IEEE Access 6, pages 36897-36905.
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Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Chong Zhang & Mingke He. 2018. Traffic Mining Applied to Police Activities. Traffic Mining Applied to Police Activities 69 82 .
Dmitry Pavlyuk. 2018. Reliability and Statistics in Transportation and Communication. Reliability and Statistics in Transportation and Communication 232 240 .
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Henry G. Goldberg, William T. Young, Alex Memory & Ted E. Senator. (2016) Explaining and Aggregating Anomalies to Detect Insider Threats. Explaining and Aggregating Anomalies to Detect Insider Threats.
Zhenliang Ma, Luis Ferreira, Mahmoud Mesbah & Sicong Zhu. (2016) Modeling distributions of travel time variability for bus operations. Journal of Advanced Transportation 50:1, pages 6-24.
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Rui Xue, Daniel (Jian) Sun & Shukai Chen. (2015) Short-Term Bus Passenger Demand Prediction Based on Time Series Model and Interactive Multiple Model Approach. Discrete Dynamics in Nature and Society 2015, pages 1-11.
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Eleni I. Vlahogianni. 2015. Engineering and Applied Sciences Optimization. Engineering and Applied Sciences Optimization 107 128 .
Eleni I. Vlahogianni, Matthew G. Karlaftis & John C. Golias. (2014) Short-term traffic forecasting: Where we are and where we’re going. Transportation Research Part C: Emerging Technologies 43, pages 3-19.
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Zhenliang Ma, Jianping Xing, Mahmoud Mesbah & Luis Ferreira. (2014) Predicting short-term bus passenger demand using a pattern hybrid approach. Transportation Research Part C: Emerging Technologies 39, pages 148-163.
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Alexandros E. Papacharalampous & Eleni I. Vlahogianni. (2014) Modeling Microscopic Freeway Traffic Using Cusp Catastrophe Theory. IEEE Intelligent Transportation Systems Magazine 6:1, pages 6-16.
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Eleni I. VlahogianniMatthew G. Karlaftis. (2013) Testing and Comparing Neural Network and Statistical Approaches for Predicting Transportation Time Series. Transportation Research Record: Journal of the Transportation Research Board 2399:1, pages 9-22.
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Matthew G. Karlaftis. (2012) Discussion. Applied Stochastic Models in Business and Industry 28:4, pages 316-318.
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Chenyi Chen, Yin Wang, Li Li, Jianming Hu & Zuo Zhang. (2012) The retrieval of intra-day trend and its influence on traffic prediction. Transportation Research Part C: Emerging Technologies 22, pages 103-118.
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