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Lagrangian Traffic model which follows a platoon of vehicle has the benefit of convenient utilization of individual vehicle data and easy distribution of traffic information to the drivers. The objective of this paper is to develop a stochastic Lagrangian traffic flow model which uses probe vehicle data to predict traffic status. The proposed probing method tracks vehicles in pairs to collect speed...
The objective of this paper is to develop an optimal planning framework for a production system utilizing multisource distributed energy supplies, in order to improve its energy efficiency and to reduce the dependency on grid energy and outage risk. The energy consumption of an automotive seat assembly plant is modeled using a discrete-event simulation, which consumes energy supplied by wind and solar,...
The objective of this paper is to develop an optimal planning framework for a production system utilizing multi-source distributed energy supplies, in order to improve its energy efficiency and to reduce the dependency on grid energy and outage risk. The energy consumption of an automotive seat assembly plant is modeled using a discrete-event simulation, which consumes energy supplied by wind and...
Traffic congestion in urban areas is posing many challenges, and traffic flow model provides accurate traffic status estimation and prediction can be beneficial for congestion management. With the limitation of infrastructure, probe data from individual vehicles is an attractive alternative to inductive loop detectors as a mean to collect traffic data for traffic flow modelling. This paper investigates...
Traffic congestion in urban areas is posing many challenges, and a traffic flow model that accurately predicts traffic conditions can be useful in responding to them. With the limitation of infrastructure and the difficulty for real world experiment, traffic simulation is a good tool for the validation and future potential applications of the traffic flow model. This research presents a stochastic...
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