2017/08/23 by Nikola Marković, Przemysław Sekuła, Marković, Nikola +7
Engineering · Social Sciences · #Automated Road and Building Extraction #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Traffic Prediction and Management Techniques #Transportation Planning and Optimization
paper · pdf · doi:10.48550/arxiv.1708.07193
openalex publication_date 2017/08/23 · openalex created_date 2022/10/03 · openalex updated_date 2026/04/28
Transportation agencies have an opportunity to leverage\nincreasingly-available trajectory datasets to improve their analyses and\ndecision-making processes. However, this data is typically purchased from\nvendors, which means agencies must understand its potential benefits beforehand\nin order to properly assess its value relative to the cost of acquisition.\nWhile the literature concerned with trajectory data is rich, it is naturally\nfragmented and focused on technical contributions in niche areas, which makes\nit difficult for government agencies to assess its value across different\ntransportation domains. To overcome this issue, the current paper explores\ntrajectory data from the perspective of a road transportation agency interested\nin acquiring trajectories to enhance its analyses. The paper provides a\nliterature review illustrating applications of trajectory data in six areas of\nroad transportation systems analysis: demand estimation, modeling human\nbehavior, designing public transit, traffic performance measurement and\nprediction, environment and safety. In addition, it visually explores 20\nmillion GPS traces in Maryland, illustrating existing and suggesting new\napplications of trajectory data.\n