scholarly journals Analysis of Large-Scale Traffic Dynamics in an Urban Transportation Network Using Non-Negative Tensor Factorization

2014 ◽  
Vol 14 (1) ◽  
pp. 36-49 ◽  
Author(s):  
Yufei Han ◽  
Fabien Moutarde
Keyword(s):  
Large Scale ◽  
Transportation Network ◽  
Urban Transportation ◽  
Tensor Factorization ◽  
Traffic Dynamics

The Characteristics of Resident Travel in Beijing Xizhimen Transport Terminal

2011 ◽  
Vol 225-226 ◽  
pp. 1212-1217
Author(s):  
Xue Mei Li ◽  
Jing Yin ◽  
Qian Che
Keyword(s):  
Travel Behavior ◽  
Transportation Planning ◽  
Large Scale ◽  
Transportation Network ◽  
Urban Transportation ◽  
The Other ◽  
Theoretical Support ◽  
Controllable Factors ◽  
Disaggregate Model ◽  
Core Facilities

Transport Terminals are core facilities of urban transportation system, and the joint of different transportation in urban transportation network. Because of their functions and place, they are faced with huge traffic pressure. So the research about the characteristics of resident travel in transport terminals could provide theoretical support for urban transportation planning, organizing and managing, finally improve urban transportation satisfaction among residents. Against this background, Xizhimen as the research object is a representative transport terminal in Beijing. Based on large-scale investigation, on one hand, the characteristics of residents travel behavior are analyzed qualitatively; on the other hand, by building the Disaggregate Model, analyze the utility functions of different travel modes quantitatively, to find some controllable factors to optimize transport terminal and improve their satisfaction.

scholarly journals Stochastic Electric Vehicle Network with Elastic Demand and Environmental Costs

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Jie Ma ◽  
Hua Wang ◽  
Tianpei Tang
Keyword(s):  
Large Scale ◽  
Transportation Network ◽  
Urban Transportation ◽  
User Equilibrium ◽  
Environmental Costs ◽  
Elastic Demand ◽  
Stochastic User Equilibrium ◽  
Travel Costs ◽  
Large Scale Network ◽  
Scale Network

Along with the increasing number of the electric vehicles (EVs), an urban transportation network with a large number of EVs will come true in the near future. Since many countries encourage EVs due to their environmental-friendly benefits, the environmental costs of vehicles have attracted much attention in recent years. In this paper, besides the environmental costs, we take into account the issues of the stochastic user equilibrium (SUE), the elastic demand (ED), and the driving range of EVs in the network. We propose an SUE with ED (SUEED) problem to consider these issues in the urban transportation network with EVs. An SUEED model is developed. We also propose a method of successive average (MSA) to solve the SUEED problem. The computational feasibility of the algorithm is tested in a large-scale network. Through a comparison analysis, we show the benefits of introducing EVs into the urban transportation network in the SUEED circumstance. Moreover, a sensitivity analysis is conducted to reveal the potential values of EVs against the development of EVs. The results suggest that EVs may help to reduce both the travelers’ travel costs and the environmental costs of the entire network.

Application research of urban subway traffic mode based on behavior entropy in the background of big data

2021 ◽  
pp. 1-14
Author(s):  
Wanxin Hu ◽  
Fen Cheng
Keyword(s):  
Big Data ◽  
Large Scale ◽  
Transportation Networks ◽  
Transportation Network ◽  
Rapid Development ◽  
Urban Transportation ◽  
Transportation System ◽  
Urban Traffic ◽  
Time Optimization ◽  
The City

With the development of society and the Internet and the advent of the cloud era, people began to pay attention to big data. The background of big data brings opportunities and challenges to the research of urban intelligent transportation networks. Urban transportation system is one of the important foundations for maintaining urban operation. The rapid development of the city has brought tremendous pressure on the traffic, and the congestion of urban traffic has restricted the healthy development of the city. Therefore, how to improve the urban transportation network model and improve transportation and transportation has become an urgent problem to be solved in urban development. Specific patterns hidden in large-scale crowd movements can be studied through transportation networks such as subway networks to explore urban subway transportation modes to support corresponding decisions in urban planning, transportation planning, public health, social networks, and so on. Research on urban subway traffic patterns is crucial. At the same time, a correct understanding of the behavior patterns and laws of residents’ travel is a key factor in solving urban traffic problems. Therefore, this paper takes the metro operation big data as the background, takes the passenger travel behavior in the urban subway transportation system as the research object, uses the behavior entropy to measure the human behavior, and actively explores the urban subway traffic mode based on the metro passenger behavior entropy in the context of big data. At the same time, the congestion degree of the subway station is analyzed, and the redundancy time optimization model of the subway train stop is established to improve the efficiency of the subway operation, so as to provide important and objective data and theoretical support for the traveler, planner and decision maker. Compared to the operation graph without redundant time, the total travel time optimization effect of passengers is 7.74%, and the waiting time optimization effect of passengers is 6.583%.

scholarly journals Challenges and Prospects of Entrepreneurship in Bhutan from the Lens of Business Educators

2020 ◽  
pp. 63-71
Author(s):  
Dhanapati Sharma ◽  
Khem Prasad Gautam
Keyword(s):  
Large Scale ◽  
Transportation Network ◽  
Structured Interview ◽  
Good Prospect ◽  
Scale Production ◽  
Entrepreneurial Ventures ◽  
Technological Support ◽  
Business Educators ◽  
Goods And Services ◽  
Undue Advantage

Entrepreneurship plays an important role in generating employment opportunities, enhancing public income and promoting societal change, particularly in a budding economy like Bhutan. Given its importance to the country, this paper investigates the challenges faced by aspiring entrepreneurs and entrepreneurial ventures, and their future prospects in Bhutan. The paper adopts qualitative research methodology to study the perspective of business educators through a semi-structured interview with fifteen participants from Gedu College of Business Studies located at Gedu, Bhutan. The study reveals that, due to a range of challenges the aspiring entrepreneurs and the entrepreneurial ventures face today, the Bhutanese entrepreneurs have a long way to go before they can effectively drive changes in the economy. However, the findings suggest that there is a good prospect for the entrepreneurial ventures in the country, and the ventures will have an undue advantage if it can leverage on the technological support from other countries. To ease the way for entrepreneurs in the country, the study finds it important to encourage the consumption of indigenous products by discouraging the import of the goods and services that can be produced within the country, regulate the price of the home made product, explore market and marketing facilities beyond the country to encourage large scale production, initiate discussion about entrepreneurship and the associated benefits at school levels and also take adequate infrastructural facilities (water, electricity and transportation network) across all parts of the country.

scholarly journals A Two-Phase Gradient Projection Algorithm for Solving the Combined Modal Split and Traffic Assignment Problem with Nested Logit Function

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Seungkyu Ryu ◽  
Anthony Chen ◽  
Songyot Kitthamkesorn
Keyword(s):  
Large Scale ◽  
Traffic Assignment ◽  
Transportation Network ◽  
User Equilibrium ◽  
Gradient Projection ◽  
Projection Algorithm ◽  
Nested Logit ◽  
Two Phase ◽  
Phase Gradient ◽  
Modal Split

This study provides a gradient projection (GP) algorithm to solve the combined modal split and traffic assignment (CMSTA) problem. The nested logit (NL) model is used to consider the mode correlation under the user equilibrium (UE) route choice condition. Specifically, a two-phase GP algorithm is developed to handle the hierarchical structure of the NL model in the CMSTA problem. The Seoul transportation network in Korea is adopted to demonstrate an applicability in a large-scale multimodal transportation network. The results show that the proposed GP solution algorithm outperforms the method of the successive averages (MSA) algorithm and the classical Evan’s algorithm.

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