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Advanced Quantitative Methods For Imminent Detection Of Crash Prone Conditions And Safety Evaluation, Zhi Chen
Advanced Quantitative Methods For Imminent Detection Of Crash Prone Conditions And Safety Evaluation, Zhi Chen
Theses and Dissertations
Crashes can be accurately predicted through reliable data sources and rigorous statistical models; and prevented through data-driven, evidence-based traffic control strategies. Both predictive analysis and analysis to estimate the causal effect of traffic variables of real-time crashes are instrumental to crash prediction and a better understanding of the mechanism of crash occurrence. However, the research on the second analysis type is very limited for real-time crash prediction; and the conventional predictive analysis using inductive loop detector data has accuracy issues related to inconsistently and distantly spaced loop detectors. The effectiveness of traffic control strategies for improving safety performance cannot be …
Data-Driven Optimization Models For Feeder Bus Network Design, Yaojun Wang
Data-Driven Optimization Models For Feeder Bus Network Design, Yaojun Wang
Theses and Dissertations
Urbanization is not a modern phenomenon. However, it is worthwhile to note that the world urban population growth curve has up till recently followed a quadratic-hyperbolic pattern (Korotayey and Khaltourina, 2006). As cities become larger and their population expand, large and growing metropolises have to face the enormous traffic demand. To alleviate the increasing traffic congestion, public transit has been considered as the ideal solution to such troubles and problems restricting urban development. The metro is a type of efficient, dependable and high-capacity public transport adapted in metropolises worldwide. At the same time, the residents from crowded cities migrated to …