scholarly journals Comparison study on evaluating urban traffic, transport system and services in China and Japan

2009 ◽  
Author(s):  
R. Ando ◽  
M. Kawai
Keyword(s):  
Transport System ◽  
Urban Traffic ◽  
Comparison Study ◽  
China And Japan

Simulation Analysis on Crowd Evacuation of the Subway Train Fire

2012 ◽  
Vol 424-425 ◽  
pp. 1215-1219 ◽  
Author(s):  
Xin Han ◽  
Jin Ning Ma ◽  
Bei Hua Cong
Keyword(s):  
Transport System ◽  
Fire Safety ◽  
Simulation Analysis ◽  
Urban Traffic ◽  
Safety Level ◽  
Software Simulation ◽  
Calculation Results ◽  
Subway System ◽  
Crowd Evacuation ◽  
Subway Train

Nowadays urban subway transport system has transformed its role from auxiliary facilities of urban traffic into a key component in people's lives. It is imperative to promote fire safety level of subway system. This paper simulates the crowd evacuation of the subway train fire. Four passenger densities within the train are set and the results of the software simulation with the calculation results based on specification are compared. It is relatively reliable to reflect the influence of the passenger density on the crowd evacuation, and some suggestions are also given out

Integration of Public Transport and Bus Rapid Transit System

2012 ◽  
Vol 253-255 ◽  
pp. 1860-1863
Author(s):  
Dou Wei Wang ◽  
Xiao Ning Zhu ◽  
Hong Yang Wu
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Life Quality ◽  
Urban Traffic ◽  
Transit System ◽  
Traffic Demand ◽  
The Public ◽  
Public Transport System ◽  
Urban Public Transport ◽  
Industrialization Process

Along with the acceleration of city-urbanization and industrialization process of the cities, city traffic demand increases rapidly. This provides a good development opportunity for the urban traffic and also brings new challenges for the urban traffic at the same time. In addition, the demands for the public transport service quality are becoming more and more strictly for the growth of residents’ travel and the improvement of life quality, the problems in the public transport system have become the main aspects that restrict the development of the urban public transport system. So the advantages of BRT in the optimization of the network are becoming more and more significant.

Research on Building Integrated Urban Rail Transport System Model of the Hohhot

2014 ◽  
Vol 587-589 ◽  
pp. 1757-1760
Author(s):  
Cheng Bing Li ◽  
Min Li ◽  
Rui Xue Guo
Keyword(s):  
Transport System ◽  
Transportation System ◽  
Scientific Basis ◽  
Rail Transport ◽  
Urban Traffic ◽  
Urban Transport ◽  
Rail Transportation ◽  
Factors Affecting ◽  
Transport Services ◽  
Urban Rail

With the improvement of China's international status, integrated transport concept has become firmly rooted. Integrated urban rail transport system as part of comprehensive transportation has become an important means to ease urban traffic problems, is not only an urgent demand for transport services and residents, but also the need to build a conservation-oriented society. In this paper, for the current problems of urban transport ,research on building the rail transportation system of Hohhot, considering from the city policy, technology, economics, management aspects, etc., demonstrate the reasonableness of the transport system construction, technically advanced and the economic viability and feasibility of construction management while analyzing factors affecting the construction of rail transportation system, thus providing a scientific basis for investment and decision-making.

scholarly journals Integrated Approach for the Assessment of Strategies for the Decarbonization of Urban Traffic

2021 ◽  
Vol 13 (2) ◽  
pp. 839
Author(s):  
Dietmar Göhlich ◽  
Kai Nagel ◽  
Anne Magdalene Syré ◽  
Alexander Grahle ◽  
Kai Martins-Turner ◽  
...  
Keyword(s):  
Transport System ◽  
Energy Demand ◽  
Urban Traffic ◽  
Urban Transport ◽  
Metropolitan Region ◽  
Transport Systems ◽  
Urban Region ◽  
Moderate Increase ◽  
Technical Feasibility ◽  
System Cost

This paper presents a new methodology to derive and analyze strategies for a fully decarbonized urban transport system which combines conceptual vehicle design, a large-scale agent-based transport simulation, operational cost analysis, and life cycle assessment for a complete urban region. The holistic approach evaluates technical feasibility, system cost, energy demand, transportation time, and sustainability-related impacts of various decarbonization strategies. In contrast to previous work, the consequences of a transformation to fully decarbonized transport system scenarios are quantified across all traffic segments, considering procurement, operation, and disposal. The methodology can be applied to arbitrary regions and transport systems. Here, the metropolitan region of Berlin is chosen as a demonstration case. The first results are shown for a complete conversion of all traffic segments from conventional propulsion technology to battery electric vehicles. The transition of private individual traffic is analyzed regarding technical feasibility, energy demand and environmental impact. Commercial goods, municipal traffic and public transport are analyzed with respect to system cost and environmental impacts. We can show a feasible transition path for all cases with substantially lower greenhouse gas emissions. Based on current technologies and today’s cost structures our simulation shows a moderate increase in total systems cost of 13–18%.

scholarly journals RESEARCH OF PROCESSES OF PASSENGER TRANSPORTATION BY MOTOR TRANSPORT

2017 ◽  
pp. 56-61 ◽  
Author(s):  
Svetlana Borisovna Dzhahyaeva ◽  
Esbol Ruslanovich Nurgaliev ◽  
Marina Semenovna Turpishcheva
Keyword(s):  
Transport System ◽  
System Approach ◽  
Evaluation Method ◽  
Continuous Process ◽  
Urban Traffic ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Motor Transport ◽  
Passenger Traffic ◽  
Passenger Transportation

The article considers the conditions of passenger transportation by motor vehicles. It has been stated, that the problems of regulating passenger traffic in the Astrakhan region, and primarily in the regional centre, the city of Astrakhan, do not differ in transport organization from municipalities of the similar level (in particular, current state of transport infrastructure in the Astrakhan Regionis characterized by incompleteness and lack of clear strategy of developing transport systems of different levels and municipal entities). The article defines a number of factors affecting road transport network in Astrakhan and, consequently, urban passenger traffic. The authors study the possibility to use a system approach to solving logistics problems of passenger transportation by motor transport, which is based on traffic flow modelling. It has been stated that urban traffic management should be taken as a continuous process that consists of a number of stages: forecasting, planning, designing and building, i. e. is a complex task which can be solved using a system approach. There have been studied several mathematical models (determinate, probabilistic, direct-analogy models), which allow modelling the municipal transport system. The authors underline that modelling municipal passenger transport system requires both analytical and probabilistic approaches: the former helps to get best results in terms of the decision evaluation method; the latter - to account a portion of uncertainty, which stipulates the cjoice of most acceptable plans.

scholarly journals The simulation of the changes in traffic solutions in states of crisis

2018 ◽  
Vol 210 ◽  
pp. 02027
Author(s):  
Pavel Viskup ◽  
Katerina Vichova
Keyword(s):  
Transport System ◽  
Minimum Cost ◽  
Urban Traffic ◽  
Limiting Factors ◽  
Critical Element ◽  
City Development ◽  
The Right ◽  
Analytical Tools ◽  
Traffic Optimization ◽  
The City

The aim of the logistics is to ensure that the right things and the right time are in the right place, all with minimum cost. Today, many software is used to solve the distribution. One of them is software PTV Vissim. This software explains individual microscopic simulations. The extensive analytical tools acquired in PTV Vissim make it a level tool for transport planning and traffic optimization. Using this system, you can simulate the existing transport system and then make changes. Due to the ever-increasing number of vehicles in operation and the increasing intensity of cars, urban traffic is deteriorating. The aim of the article is to design a new transport system in the city of Uherské Hradiště in connection with the arrival at the hospital in the event of the states of crisis. Twenty years ago, the town of Uherské Hradiště was hit by enormous floods that cut off the hospital from access. No correction has been made yet. The current proposals for solutions mainly for city development. The authors consider access to the hospital as a critical element of the service to the population. The development of the city is taken as a secondary task. The software is simulating the current state and then the proposed changes. The paper is divided into four parts. Introduction to the problem, determination of limiting factors, simulation using PTV Vissim software and conclusion.

scholarly journals Neural Network Approach to Modelling Transport System Resilience for Major Cities: Case Studies of Lagos and Kano (Nigeria)

2021 ◽  
Vol 13 (3) ◽  
pp. 1371
Author(s):  
Suleiman Hassan Otuoze ◽  
Dexter V. L. Hunt ◽  
Ian Jefferson
Keyword(s):  
Neural Network ◽  
Transport System ◽  
Mean Squared Error ◽  
Back Propagation ◽  
Modern Method ◽  
Urban Traffic ◽  
Propagation Model ◽  
Urban Life ◽  
Design Standards ◽  
Neural Network Approach

Congestion has become part of everyday urban life, and resilience is very crucial to traffic vulnerability and sustainable urban mobility. This research employed a neural network as an adaptive artificially-intelligent application to study the complex domains of traffic vulnerability and the resilience of the transport system in Nigerian cities (Kano and Lagos). The input criteria to train and check the models for the neural resilience network are the demographic variables, the geospatial data, traffic parameters, and infrastructure inventories. The training targets were set as congestion elements (traffic volume, saturation degree and congestion indices), which are in line with the relevant design standards obtained from the literature. A multi-layer feed-forward and back-propagation model involving input–output and curve fitting (nftool) in the MATLAB R2019b software wizard was used. Three algorithms—including Levenberg–Marquardt (LM), Bayesian Regularization (BR), and a Scaled Conjugate Gradient (SCG)—were selected for the simulation. LM converged easily with the Mean Squared Error (MSE) (2.675 × 10−3) and regression coefficient (R) (1.0) for the city of Lagos. Furthermore, the LM algorithm provided a better fit for the model training and for the overall validation of the Kano network analysis with MSE (4.424 × 10−1) and R (1.0). The model offers a modern method for the simulation of urban traffic and discrete congestion prediction.

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