Choice Set Generation in Multi-modal Transportation Networks PDF Download
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Author: Maria Stella Fiorenzo-Catalano
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 344
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Book Description
Author: Maria Stella Fiorenzo-Catalano
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 344
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Book Description
Author: Agostino Nuzzolo
Publisher: CRC Press
ISBN: 1498743544
Category : Computers
Languages : en
Pages : 339
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Book Description
The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. Hence, transport agencies and transit operators are now more urgently required to assist in the challenging task of effectively and efficiently planning, managing, and governing transit networks. A pre-condition for the development of an effective intelligent multi-modal transit system is the integration of information and communication technology (ICT) tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and successfully synchronise transit service planning and operations control. Modelling Intelligent Multi-Modal Transit Systems introduces the current trends in this newly emerging area. Recent developments in information technology and telematics have enabled a large amount of data to become available, thus further attracting transport researchers to set up new models outside the context of the traditional data-driven approach. The alternative demand-supply interaction or network assignment modelling approach has improved greatly in recent years and has a crucial role to play in this new context.
Author: Sascha Hoogendoorn-Lanser
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 472
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Book Description
Author: Maëlle Zimmermann
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Agostino Nuzzolo
Publisher: CRC Press
ISBN: 1315351986
Category : Computers
Languages : en
Pages : 229
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Book Description
The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. Hence, transport agencies and transit operators are now more urgently required to assist in the challenging task of effectively and efficiently planning, managing, and governing transit networks. A pre-condition for the development of an effective intelligent multi-modal transit system is the integration of information and communication technology (ICT) tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and successfully synchronise transit service planning and operations control. Modelling Intelligent Multi-Modal Transit Systems introduces the current trends in this newly emerging area. Recent developments in information technology and telematics have enabled a large amount of data to become available, thus further attracting transport researchers to set up new models outside the context of the traditional data-driven approach. The alternative demand-supply interaction or network assignment modelling approach has improved greatly in recent years and has a crucial role to play in this new context.
Author: Northwestern University (Evanston, Ill.). Transportation Center
Publisher:
ISBN:
Category : Network analysis (Planning)
Languages : en
Pages : 102
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Book Description
Author: Edward K. Morlok
Publisher:
ISBN:
Category : High speed ground transportation
Languages : en
Pages : 98
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Book Description
Author: Andreas Horni
Publisher: Ubiquity Press
ISBN: 190918876X
Category : Technology & Engineering
Languages : en
Pages : 620
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Book Description
The MATSim (Multi-Agent Transport Simulation) software project was started around 2006 with the goal of generating traffic and congestion patterns by following individual synthetic travelers through their daily or weekly activity programme. It has since then evolved from a collection of stand-alone C++ programs to an integrated Java-based framework which is publicly hosted, open-source available, automatically regression tested. It is currently used by about 40 groups throughout the world. This book takes stock of the current status. The first part of the book gives an introduction to the most important concepts, with the intention of enabling a potential user to set up and run basic simulations. The second part of the book describes how the basic functionality can be extended, for example by adding schedule-based public transit, electric or autonomous cars, paratransit, or within-day replanning. For each extension, the text provides pointers to the additional documentation and to the code base. It is also discussed how people with appropriate Java programming skills can write their own extensions, and plug them into the MATSim core. The project has started from the basic idea that traffic is a consequence of human behavior, and thus humans and their behavior should be the starting point of all modelling, and with the intuition that when simulations with 100 million particles are possible in computational physics, then behavior-oriented simulations with 10 million travelers should be possible in travel behavior research. The initial implementations thus combined concepts from computational physics and complex adaptive systems with concepts from travel behavior research. The third part of the book looks at theoretical concepts that are able to describe important aspects of the simulation system; for example, under certain conditions the code becomes a Monte Carlo engine sampling from a discrete choice model. Another important aspect is the interpretation of the MATSim score as utility in the microeconomic sense, opening up a connection to benefit cost analysis. Finally, the book collects use cases as they have been undertaken with MATSim. All current users of MATSim were invited to submit their work, and many followed with sometimes crisp and short and sometimes longer contributions, always with pointers to additional references. We hope that the book will become an invitation to explore, to build and to extend agent-based modeling of travel behavior from the stable and well tested core of MATSim documented here.
Author: Joffre D. Swait
Publisher:
ISBN:
Category :
Languages : en
Pages : 462
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Book Description
Author: Yuntian Deng
Publisher:
ISBN:
Category : Operations research
Languages : en
Pages : 0
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Book Description
Myriad options and modes are now available for passengers to commute between different places. At the moment, all these services are owned and operated by distinct competitors, and every firm is trying to attract as many customers as possible. Such uncoordinated competition and myopic operation result in a huge cost to society in terms of serious traffic congestion, high energy consumption, and low utilization of public resources. In this dissertation, we propose new models, algorithms, and theoretical analyses to overcome the observed challenges through optimization and reinforcement learning. Our results provide insights into the pricing of multi-modal networks and mode-specific decisions. In particular, we consider the following problems: Pricing of the multi-modal network when demand function is known or unknown: We consider the situation where multiple transportation service providers cooperate to offer an integrated multi-modal platform. The platform sets incentives (price discounts or excess charges on passengers) along every edge of the transportation network. When the demand function is known, the optimal incentives that maximize the profit of the platform are obtained through a two-time-scale stochastic approximation algorithm. When the demand function is unknown and time-varying, we leverage kernelized bandit to learn the nonparametric demand function and maximize the system profit. We consider both service constrained and unconstrained cases and use restarting or weighted method to tackle non-stationarity. Once the profit is determined, we use the asymmetric Nash bargaining solution to design a fair profit-sharing scheme among the service providers and show that each provider's profit increases after cooperation on such a platform. Real-time and strategic decisions on ride-hailing system: For real-time decisions, we focus on designing a rebalancing algorithm for a large-scale ride-hailing system with asymmetric demand. We pose it within a semi-Markov decision problem (SMDP) framework and minimize a convex combination of the passenger's waiting time and the total empty vehicle miles traveled. We use a deep reinforcement learning algorithm to determine the approximately optimal solution to the SMDP. For strategic decisions, we focus on fleet sizing and charger allocation in the electric vehicle sharing system. We develop a closed queueing network model to analyze the performance given a certain number of chargers in each neighborhood. Depending on the demand distribution, we devise algorithms to compute the optimal fleet size and number of chargers required to maximize profit while maintaining a certain quality of service. We further show that two slow chargers may outperform one fast charger when the variance of charging time becomes relatively large in comparison to the mean charging time.
