LISS 2020
LISS 2020

Author: Shifeng Liu

Publisher: Springer Nature

Published: 2021-04-10

Total Pages: 1056

ISBN-13: 9813343591

DOWNLOAD EBOOK

This book contains the proceedings of the 10th International Conference on Logistics, Informatics and Service Sciences (LISS 2020), which is co-organized by Beijing Jiaotong University, Budapest University of Technology and Economics, in July 25–28 2020. This book focuses on the “AI and data-driven technical and management innovation in logistics, informatics and services” and aims to provide new research methods, theories and applications from various areas of management and engineering. In detail the included scientific papers analyse and describe communication processes in the fields of logistics, informatics, service sciences and other related areas. The variety of papers delivers added value for both scholars and practitioners. Information and communication technologies have been providing an effective network infrastructure and development platform for logistics and service operations.

Transportation Systems Engineering
Transportation Systems Engineering

Author: Ennio Cascetta

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 723

ISBN-13: 1475768737

DOWNLOAD EBOOK

"This book provides a rigorous and comprehensive coverage of transportation models and planning methods and is a must-have to anyone in the transportation community, including students, teachers, and practitioners." Moshe Ben-Akiva, Massachusetts Institute of Technology.

Large-Scale Systems Control and Decision Making
Large-Scale Systems Control and Decision Making

Author: H. Tamura

Publisher: CRC Press

Published: 1990-01-19

Total Pages: 320

ISBN-13: 9780824782412

DOWNLOAD EBOOK

Six contributors from Japanese universities explore the basic theory and methodology of control and decision making in systems that either contain many variables or have some special characteristics such as multiple subsystems or control stations, a decentralized and/or hierarchical information stru

Freeway Origin Destination Matrices, Not as Simple as They Seem
Freeway Origin Destination Matrices, Not as Simple as They Seem

Author: Satyanarayana Muthuswamy

Publisher:

Published: 2011

Total Pages: 0

ISBN-13:

DOWNLOAD EBOOK

Travel demand can be elegantly represented using an Origin-Destination (OD) matrix. The link counts observed on the network are produced by the underlying travel demand. One could use these counts to reconstruct the OD matrix. An offline approach to estimate a static OD matrix over the peak period for freeway sections using these counts is proposed in this research. Almost all the offline methods use linear models to approximate the relationship between the on-ramp and off-ramp counts. Previous work indicates that the use of a traffic flow model embedded in a search routine performs better than these linear models. In this research that approach is enhanced using a microscopic traffic simulator, AIMSUN, and a gradient based optimization routine, MINOS, interfaced to estimate an OD matrix. This approach is an application of the Prediction Error Minimization (PEM) method. The problem is non-linear and nonsmooth, and the optimization routine finds multiple local minima, but cannot guarantee a global minima. However, with a number of starting "seed" matrices, an OD matrix with a good fit in terms of reproducing traffic counts can be estimated. The dominance of the mainline counts in the OD estimation and an identifiability issue is indicated from the experiments. The quality of the estimates improves as the specification error, introduced due to the discrepancy between the traffic flow model and the real world process that generates the on-ramp and off-ramp counts, reduces.