Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. select article Big data in transportation and traffic engineering. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Traffic flow, road geometry, sidewalks, crosswalks, cycle facilities, shared lane markings, traffic signs, traffic lights, and more—all of these elements must be considered when designing public and private sector transportation solutions. Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities (Advances in Civil and Industrial Engineering) There's a problem loading this menu right now. The data is mainly analysed in order to manage and to achieve a safe and efficient traffic … Big Data Analytics in Traffic and Transportation Engineering book. Big Data is an emerging paradigm and has currently become a strong attractor of global interest, specially within the transportation industry. select article How much GPS data do we need? Skickas inom 10-15 vardagar. In this paper, we focus on two aspects of the significance of big data in intelligent transportation … Big data in transportation and traffic engineering @article{Vlahogianni2015BigDI, title={Big data in transportation and traffic engineering}, author={E. Vlahogianni and B. The Urban Planning and Transportation domains are undergoing a major change in data collection and usage. The combination of disruptive technologies and new concepts such as the Smart City upgrades the transport data life cycle. ScienceDirect ® is a registered trademark of Elsevier B.V. ScienceDirect ® is a registered trademark of Elsevier B.V. A traffic study is an elaborate investigation and meticulous analysis of the transportation system in a specific area, which is supported by an expansive collection of data. Here are seven other ways to harness the power of Big Data in your planning and projects: The webinar will begin with an explanation of the current challenges as well as providing an overview of TSMO. Park and J. V. Lint}, journal={Transportation Research Part C-emerging Technologies}, year={2015}, … Please try again. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. van Lint, https://doi.org/10.1016/j.trc.2015.04.022, Jameson L. Toole, Serdar Colak, Bradley Sturt, Lauren P. Alexander, ... Marta C. González, https://doi.org/10.1016/j.trc.2015.04.021, Yuxiong Ji, Rabi G. Mishalani, Mark R. McCord, https://doi.org/10.1016/j.trc.2015.03.033, Le-Minh Kieu, Ashish Bhaskar, Edward Chung, https://doi.org/10.1016/j.trc.2015.03.022, https://doi.org/10.1016/j.trc.2015.03.021, Andre Carrel, Peter S.C. Lau, Rabi G. Mishalani, Raja Sengupta, Joan L. Walker, https://doi.org/10.1016/j.trc.2015.02.018, Lauren Alexander, Shan Jiang, Mikel Murga, Marta C. González, https://doi.org/10.1016/j.trc.2015.01.030, https://doi.org/10.1016/j.trc.2014.12.006, Konstantinos Gkiotsalitis, Antony Stathopoulos, https://doi.org/10.1016/j.trc.2015.06.007, Honghui Dong, Mingchao Wu, Xiaoqing Ding, Lianyu Chu, ... Xuesong Zhou, https://doi.org/10.1016/j.trc.2015.03.003, Li Li, Xiaonan Su, Yanwei Wang, Yuetong Lin, ... Yuebiao Li, https://doi.org/10.1016/j.trc.2015.02.019, https://doi.org/10.1016/j.trc.2015.02.011, Anthony D. Patire, Matthew Wright, Boris Prodhomme, Alexandre M. Bayen, https://doi.org/10.1016/j.trc.2015.01.015, Mahmood Rahmani, Erik Jenelius, Haris N. Koutsopoulos, https://doi.org/10.1016/j.trc.2015.04.007, Paul St-Aubin, Nicolas Saunier, Luis Miranda-Moreno, https://doi.org/10.1016/j.trc.2015.02.022, https://doi.org/10.1016/j.trc.2015.01.029, Carlos Lima Azevedo, Biagio Ciuffo, João Lourenço Cardoso, Moshe E. Ben-Akiva, https://doi.org/10.1016/j.trc.2014.12.014, Xin Wang, Asad J. Khattak, Jun Liu, Golnush Masghati-Amoli, Sanghoon Son, Transportation Research Part C: Emerging Technologies, select article Editorial Board/Copyright Information, select article Big data in transportation and traffic engineering, Big data in transportation and traffic engineering, select article The path most traveled: Travel demand estimation using big data resources, The path most traveled: Travel demand estimation using big data resources, select article Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets, Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets, select article A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data, A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data, select article Axis of travel: Modeling non-work destination choice with GPS data, Axis of travel: Modeling non-work destination choice with GPS data, select article Quantifying transit travel experiences from the users’ perspective with high-resolution smartphone and vehicle location data: Methodologies, validation, and example analyses, Quantifying transit travel experiences from the users’ perspective with high-resolution smartphone and vehicle location data: Methodologies, validation, and example analyses, select article Origin–destination trips by purpose and time of day inferred from mobile phone data, Origin–destination trips by purpose and time of day inferred from mobile phone data, select article Exploring bikesharing travel time and trip chain by gender and day of the week, Exploring bikesharing travel time and trip chain by gender and day of the week, select article A utility-maximization model for retrieving users’ willingness to travel for participating in activities from big-data, A utility-maximization model for retrieving users’ willingness to travel for participating in activities from big-data, select article Traffic zone division based on big data from mobile phone base stations, Traffic zone division based on big data from mobile phone base stations, select article Robust causal dependence mining in big data network and its application to traffic flow predictions, Robust causal dependence mining in big data network and its application to traffic flow predictions, select article A gradient boosting method to improve travel time prediction, A gradient boosting method to improve travel time prediction. 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