Optimization And Design Method Of Feeder Bus System

Optimization and Design Method of Feeder Bus System

Optimization and Design Method of Feeder Bus System(Metro Station,Airport)

Feeder transit system (FTS) aims at arranging access to vehicles located at different depots at all demand points and transporting residents from these selected pick-up stops to transportation hubs (rail station and airport etc.). The FTS transit network, including a set of nodes (transportation hubs, bus stops, demand points, and depots) and links between them, is regarded as an effective tool to provide a better first/last mile service to and from the major fixed-route transit networks. The first/last mile access to major fixed-route transit networks and connectivity of residential areas is one of the main challenges faced by public transit. A well-designed FTS transit network shifted transport demand from individual car traffic to public transport and further enhanced urban sustainability. A feasible solution to the problem is the planning, design and implementation of efficient feeder transit services.

Fuzzy Systems and Data Mining VI

The interdisciplinary field of fuzzy logic encompass applications in the electrical, industrial, chemical and engineering realms as well as in areas of management and environmental issues, while data mining covers new approaches to big data, massive data, and scalable, parallel and distributed algorithms. This book presents papers from the 6th International Conference on Fuzzy Systems and Data Mining (FSDM 2020). The conference was originally due to be held from 13-16 November 2020 in Xiamen, China, but was changed to an online conference held on the same dates due to ongoing restrictions connected with the COVID-19 pandemic. The annual FSDM conference provides a platform for knowledge exchange between international experts, researchers academics and delegates from industry. This year, the committee received 316 submissions, of which 76 papers were selected for inclusion in the conference; an acceptance rate of 24%. The conference covers four main areas: fuzzy theory; algorithms and systems, which includes topics like stability; foundations and control; and fuzzy applications, which are widely used and cover various types of processing as well as hardware and architecture for big data and time series. Providing a current overview of research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.