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Results for “"Yasunori Muromachi"”

4 results

Real-time crash prediction models: State-of-the-art, design pathways and ubiquitous requirements

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Moinul Hossain, Mohamed Abdel‐Aty, Mohammed Quddus, Yasunori Muromachi et al.

Journal: Accident Analysis & PreventionYear: 2019Citations: 151

Proactive traffic safety management systems can monitor traffic conditions in real-time, identify the formation of unsafe traffic dynamics, and implement suitable interventions to bring unsafe conditions back to normal traffic situations. Recent advancements in artificial intelligence, sensor fusion...

Physical SciencesEngineeringBuilding and ConstructionOpen Access
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A deep reinforcement learning-based intelligent intervention framework for real-time proactive road safety management

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Ananya Roy, Moinul Hossain, Yasunori Muromachi

Journal: Accident Analysis & PreventionYear: 2021Citations: 29

We propose a variable speed limit (VSL) system for improving the safety of urban expressways in real time. The system has two main functions: monitoring traffic data and then using the data to assess crash risk through a real-time crash prediction model (RTCPM). When the risk is high, the system tri...

Physical SciencesEngineeringControl and Systems Engineering
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Enhancing the Prediction Performance of Real-Time Crash Prediction Models: A Cell Transmission-Dynamic Bayesian Network Approach

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Ananya Roy, Moinul Hossain, Yasunori Muromachi

Journal: Transportation Research Record Journal of the Transportation Research BoardYear: 2018

Predicting crash probability in real time is a concept that has inspired studies into complex modeling methods, exploring more sophisticated data collection methods, reducing specification errors by introducing new traffic variables, etc. Most existing real-time crash prediction models (RTCPMs) are ...

Physical SciencesEngineeringBuilding and Construction
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Stated Preferences in Value of Time Study for Perishable Goods In Bangladesh

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泰徳 室町, Yasunori Muromachi

Journal: Institutional Repositories DataBase (IRDB)Year: 1995
Social SciencesEconomics, Econometrics and FinanceEconomics and Econometrics
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