The main objective of this paper is to present and evaluate methods that can be used to extract valuable information from traffic data history for use in travel information and guidance systems. Through two different analyses, we identify the roads which the system should pay closer attention to. First, we introduce an approach that finds the patterns of the traffic speed which lie within the data history. Second, we discover the relations between traffic speeds and various features of roads. The result of our study let travel guidance systems know how heavy the traffic will be at any given road. We extend these approaches to tackle the problem of incident management, and designed a system that returns, the expected range of effect of an incident using road features.
The application of Petri nets to analyze and simulate biological pathways has been developed vigorously. Some of the modifications of Petri nets appeared to perform quantitative analysis of biological pathways: hybrid Petri net, timed Petri net, stochastic Petri net and so on. For a quantitative analysis of biological pathways, we propose to adopt Runge-Kutta methods to act on a continuous Petri net. We show that Runge-Kutta methods are applicable to a continuous Petri net in glycolysis and apoptosis pathways with reliable and efficient simulation results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.