These proceedings gather a selection of peer-reviewed papers presented at the 6th Thailand Rail Academic Symposium (TRAS 2019), held at Mahidol University, Bangkok, Thailand on 21–22 November 2019. The focus is on presenting recent research on issues related to rail and metro, with a specific focus on metro performance and system design undertaken in Thailand, South East Asia and beyond. Topics presented are divided into three themes and cover topics towards sustainable transportation related to: Metro operations and system performance; Rail engineering and vehicles; Rail education and training.

This book contributes to making urban rail transport fast, punctual and energy-efficient –significant factors in the importance of public transportation systems to economic, environmental and social requirements at both municipal and national levels. It proposes new methods for shortening passenger travel times and for reducing energy consumption, addressing two major topics: (1) train trajectory planning: the authors derive a nonlinear model for the operation of trains and present several approaches for calculating optimal and energy-efficient trajectories within a given schedule; and (2) train scheduling: the authors develop a train scheduling model for urban rail systems and optimization approaches with which to balance total passenger travel time with energy efficiency and other costs to the operator. Mixed-integer linear programming and pseudospectral methods are among the new methods proposed for single- and multi-train systems for the solution of the nonlinear trajectory planning problem which involves constraints such as varying speed restrictions and maximum traction/braking force. Signaling systems and their effects are also accounted for in the trajectory planning model. Origin–destination passenger demand is included in the model formulation for train scheduling. Iterative convex programming and efficient bi-level approaches are utilized in the solution of the train-scheduling problem. In addition, the splitting rates and route choices of passengers are also optimized from the system point of view. The problems and solutions described in Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems will interest researchers studying public transport systems and logistics whether from an academic or practitioner background as well as providing a real application for anybody studying optimization theory and predictive control.

Joachim Schneider investigates the following questions: Which forms of public private co-operation exist in the USA and the UK? Which are of particular interest from a German and European perspective? Which legal and organisational conditions as well as budgetary, subsidy and procurement-rules have contributed to positive or negative results?

With the increasing sophistication of urban rail networks, the combined effects of rail transit on urban development are more and more complex and in-depth, and large-scale rail transit construction and operation have placed new demands on planning, construction, investment and financing. This main aim of these proceedings is to study and explore theoretical progress, methodological innovation and lessons learned in aspects of the planning stage, urban planning, architectural design, development and construction, safety systems, management support, etc. involved in the process of comprehensive utilization along urban rail transit lines and in the development and utilization of the surrounding land, in order to provide a platform for decision-makers and researchers involved in urban rail transit construction, urban construction and development.

Advances in Urban Construction and Management Engineering focuses on the research of urban traffic, city engineering, ecological city and management engineering. The proceedings feature the most cutting-edge research directions and achievements related to Urban Construction. Subjects in the proceedings include: • Urban development and construction • Architectural design and urban planning • Logistics and supply chain management • Management engineering The works of this proceedings can promote development of Urban Construction and Management Engineering, resource sharing, flexibility and high efficiency. Thereby, promote scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.

This two-volume set (CCIS 848 and CCIS 849) constitutes the thoroughly refereed proceedings of the 5th International Conference Geo-Spatial Knowledge and Intelligence, GSKI 2017, held in Chiang Mai, Thailand, in December 2018.The 142 full papers presented were carefully reviewed and selected from 579 submissions. They are organized in topical sections on smart city in resource management and sustainable ecosystem; spatial data acquisition through RS and GIS in resource management and sustainable ecosystem; ecological and environmental data processing and management; advanced geospatial model and analysis for understanding ecological and environmental process; applications of geo-informatics in resource management and sustainable ecosystem.

The 2022 International Conference on Information Economy, Data Modeling and Cloud Computing (ICIDC 2022) was successfully held in Qingdao, China from June 17 to 19, 2022. Under the impact of COVID-19, ICIDC 2022 was held adopting a combination of online and offline conference. During this conference, we were greatly honored to have Prof Datuk Dr Hj Kasim Hj Md Mansur from Universiti Malaysia Sabah, Malaysia to serve as our Conference Chairman. And there were 260 individuals attending the conference. The conference agenda was composed of keynote speeches, oral presentations, and online Q&A discussion. The proceedings of ICIDC 2022 cover various topics, including Big Data Finance, E-Commerce and Digital Business, Modeling Method, 3D Modeling, Internet of Things, Cloud Computing Platform, etc. All the papers have been checked through rigorous review and processes to meet the requirements of publication. Data modeling allows us to obtain the dynamic change trend of various indicator data, so how to use big data information to model and study the development trend of economic operation plan is of great significance. And that is exactly the purpose of this conference, focusing on the application of big data in the economic field as well as conducting more profound research in combination with cloud computing.