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A comprehensive analysis of several vehicle emission models for road freight transportation is presented by Demir et al. (2011).
Abbas [1] compares the road safety of Egypt with that of other Arab nations and G-7 countries, and develops predictive models for road safety.
Database models for road inventories are based on classical schemes for relational databases: many related tables, in which the database designer establishes, a priori, every detail that they consider relevant for inventory management.
Considerable research has been carried out into open roads to establish relationships between crashes and traffic flow, geometry of infrastructure and environmental factors, whereas crash-prediction models for road tunnels, have rarely been investigated.
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A feasibility study looking at "new ownership and financing models" for roads will be carried out by the Treasury and Department of Transport, to report by the autumn.
This paper presents a model for road network classification based on traffic accidents integrated in a geographic information system.
A model for road stability was developed to assist in performing analysis of the canal roads outside of Baghdad.
It first introduces a QRA model for road tunnels, consisting of event trees, fault trees and consequence estimation models.
In order to calculate the main measures of design consistency, an accurate operating speed profile model for road alignment is needed.
Other traffic monitoring applications using real-time video/image tracking are presented for instance based on a virtual line graph for major highway scenarios [18] or based on an active contour model for road intersection scenarios [19].
In further work, a new methodology combining this approach with other optimization methods will be applied in the context of big data, using VANETs, Apache Kafka for streaming, and machine learning to build a predictive model for road safety.
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