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Fleet Management and Logistics
TEODOR GABRIEL CRAINIC, DIRECTOR The Centre for Research on Transportation (C.R.T.) was founded in 1971 by the Universite de Montreal. From 1988 on, it is jointly managed by the Universite de Montreal and its affiliated schools, the Ecole des Hautes Etudes Commerciales and Ecole Poly technique. Professors, students and researchers from many institutions in the Montreal area join forces at the C.R.T. to analyze transportation, logistics and telecommunication systems from a multidisciplinary perspective. The C.R.T. pursues three major, complementary objectives: training of high-level specialists; the advancement of knowledge and technology; the transfer of technology towards industry and the p...
Centrality in Strategic Transportation Network Design
Efficient and effective transportation networks are backbones to modern societies. Methodologically, their design has mainly been driven by optimization approaches oftentimes with a strong cost focus. Their strategic planning, however, should go beyond detailed cost analysis and identify other key decision drivers. Transportation network centrality describes the appearance of a network; hence is crucial for network design. Anne Paul develops a strategic approach to transportation network design by conceptualizing transportation network centrality and relating it to the performance and quality of transportation networks. Consequently, the concept of network centrality serves to support decisions in strategic network design. A practical implementation of this approach is provided, demonstrating its feasibility. Potential readers include scholars and practitioners from logistics, supply chain management, and operational research with an interest in strategic transportation network design.
Equilibrium and Advanced Transportation Modelling
Each chapter in Equilibrium and Advanced Transportation Modelling develops a topic from basic concepts to the state-of-the-art, and beyond. All chapters relate to aspects of network equilibrium. Chapter One advocates the use of simulation models for the representation of traffic flow movements at the microscopic level. Chapter Two presents travel demand systems for generating trip matrices from activity-based models, taking into account the entire daily schedule of network users. Chapter Three examines equilibrium strategic choices adopted by the passengers of a congested transit system, carefully addressing line selection at boarding and transfer nodes. Chapter Four provides a critical appr...
Supporting Operational and Real-time Planning Tasks of Road Freight Transport with Machine Learning. Guiding the Implementation of Machine Learning Algorithms
World-wide trends such as globalization, demographic shifts, increased customer demands, and shorter product lifecycles present a significant challenge to the road freight transport industry: meeting the growing road freight transport demand economically while striving for sustainability. Artificial intelligence, particularly machine learning, is expected to empower transport planners to incorporate more information and react quicker to the fast-changing decision environment. Hence, using machine learning can lead to more efficient and effective transport planning. However, despite the promising prospects of machine learning in road freight transport planning, both academia and industry struggle to identify and implement suitable use cases to gain a competitive edge. In her dissertation, Sandra Lechtenberg explores how machine learning can enhance decision-making in operational and real-time road freight transport planning. She outlines an implementation guideline, which involves identifying decision tasks in planning processes, assessing their suitability for machine learning, and proposing steps to follow when implementing respective algorithms.
Design and Operation of Civil and Environmental Engineering Systems
The tools of operations research (OR)--optimization, simulation, game theory, and others--are increasingly applied to the entire range of problems encountered by civil and environmental engineers. In this groundbreaking text/reference, the world's leading experts describe sophisticated OR opplications across the spectrum of environmental and civil engineering specialties, addressing problems encountered in both operation and design.
Automobile Insurance: Road Safety, New Drivers, Risks, Insurance Fraud and Regulation
Motor vehicle accidents are still a leading cause of death, even if the trend has somewhat declined over the past 20 years. Indeed, motor vehicle accidents are a significant cause of death in comparison with air and space transport accidents, homicides and even HIV infections, causes which are more often highlighted in the media. As shown in this book, motor vehicle accidents are particularly damaging to very young drivers. The assessment of driving risks is a common concern for road transportation safety and the automobile insurance industry. In both cases, there is an awareness of the great losses resulting from the deaths, injuries and property damage caused by traffic accidents. Research...
Taking Stock of Air Liberalization
Taking Stock of Air Liberalization is about Technology, Economy, and Policy (TEP) in the airline industry. Ten years ago, the practical collaboration was begun of bringing together people who belonged to the complementary streams of economic analysis and policy analysis presented int his book. During this time, we opened discussions on the relationship between transportation technology, transportation economics and transportation policy under the general auspices of the Canadian Royal Commission on National Passenger Transportation. Working over a 40-month period (1989-1992), this Commission took stock of transportation and produced an up-to-date `État de la question' and policy framework (...
Romanians in Canada
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