Optimization Model of Regional Traffic Signs for Inducement at Road Works

A variety of pipelines are distributed under urban roads. The upgrading of pipelines is bound to occupy certain road resources, compress the driving space of motor vehicles for a long time, aggravate the traffic congestion in the construction section, and then affect the traffic operation of the whole region. A reasonable layout of traffic signs for inducement to guide the traffic flow in the area where the construction section is located is conducive to promoting a balanced distribution of traffic flow in the regional road network, so as to achieve the reduction of automobile exhaust emissions and the sustainable development of traffic. In this paper, the layout optimization method of regional traffic signs for inducement is proposed. Taking the maximum amount of guidance information that the regional traffic signs can provide as the objective function, and taking the traffic volume, the characteristics of intersection nodes and the standard deviation of road saturation as the independent variables, the layout optimization model of guidance facilities is constructed, which can optimize the layout of traffic guidance signs in the area affected by the construction section, and achieve the goal that the minimum number of facilities can provide the maximum amount of guidance information. The results of the case study show that among the 64 alternative locations where traffic guidance signs can be set in the study area, eight optimal locations are finally determined as the setting points of guidance facilities through this model, and the effective increment of guidance information is the largest at this time. The model proposed in this paper can be used for reference to promote the sustainable development of traffic in the area where the construction section is located.

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The Model of Vehicle and Route Selection for Energy Saving

Sustainability ◽

10.3390/su13084528 ◽

2021 ◽

Vol 13 (8) ◽

pp. 4528

Author(s):

Olga Lingaitienė ◽

Juozas Merkevičius ◽

Vida Davidavičienė

Keyword(s):

Sustainable Development ◽

Fuel Consumption ◽

Motor Vehicles ◽

The Sustainable Development ◽

Supply Chain Efficiency ◽

The World Bank ◽

Cargo Delivery ◽

Efficiency And Effectiveness ◽

The Cost ◽

Source Use

The World Bank, United Nations, the Organization for Economic Cooperation and Development, and others are in line with the governments of countries that are strongly interested in the sustainable development of countries, regions, and enterprises. One of the aspects that affects the indicators and prospects of sustainable development is the efficiency of energy source use. Nationwide reductions in the greenhouse gas emissions of motor vehicles could have a direct effect on ambient temperature and reducing the effects of global warming, which can affect future environmental, societal, and economic development. Significant reductions in fuel consumption can be achieved by increasing the efficiency of use, and the performance, of current cargo vehicles. This aspect is directly related to cargo delivery systems and supply chain efficiency and effectiveness. The article solves the problem of increasing the effectiveness of cargo delivery and proposes a model that would minimize transportation costs that are directly related to fuel consumption, shortening transportation time. The model addresses the problem of a lack of models evaluating the efficiency of cargo to Lithuania that is using several different modes of transportation. For the solution to this problem, the article examines the complexity of the rational use of land and water vehicles depending on the type of cargo transported, the technical capabilities of the vehicles (loading, speed, environmental pollution, fuel consumption, etc.), and the type (cars, railways, ships). The novelty of the findings is based on the availability to select the most appropriate vehicles, on a case-by-case basis, from the available options, depending on their environmental performance and energy efficiency. This model, later in this article, is used for calculations of Lithuanian companies for selecting the most rational vehicle by identifying the most appropriate route, as well as assessing the dynamics of the economic and physical indicators. The model allows for creating dependencies between the main indicators characterizing the transport process—the cost, the time of transport, and the safety, taking into account the dynamics of economic and physical indicators, that lead to a very important issue—reducing the amount of energy required to provide products and services.

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System Dynamics Analysis of the Relationship between Transit Metropolis Construction and Sustainable Development of Urban Transportation—Case Study of Nanchang City, China

Sustainability ◽

10.3390/su12073028 ◽

2020 ◽

Vol 12 (7) ◽

pp. 3028

Author(s):

Yunqiang Xue ◽

Lin Cheng ◽

Kuang Wang ◽

Jing An ◽

Hongzhi Guan

Keyword(s):

Sustainable Development ◽

System Dynamics ◽

Traffic Congestion ◽

Simulation Analysis ◽

Supply And Demand ◽

Urban Transportation ◽

Urban Environments ◽

Motor Vehicles ◽

The Sustainable Development ◽

New Energy

In order to systematically analyze the benefits of transit metropolis construction, the system dynamics (SD) theory was used to construct the transit metropolis SD simulation model from the four subsystems of economy, society, environment, and transportation supply and demand. The validity of the SD model was verified by the social and economic data of Nanchang City and the operational data of the bus company, and the quantitative simulation analysis was carried out by taking the construction of the transit metropolis in Nanchang as an example. The simulation results show that, in 2020, the number of motor vehicles in Nanchang will reach 1.13 million and the urban population will reach 5.71 million. It is necessary to build a transit metropolis for the sustainable development of urban transportation. In order to complete the transit metropolis creation goal of 60% of the public transit mobility sharing rate, the proportion of public transport investment in the total transportation investment needs to be adjusted from 0.25 to 0.35. As a result, Nanchang City will improve after the peak traffic congestion in 2022, indicating that the construction of the transit metropolis will have a positive effect on Nanchang. By developing new energy vehicles and low-emission vehicles, vehicle emissions will drop from 0.05 tons/year to 0.04 tons/year, and overall nitrogen oxide emissions will fall by 70%, which is significant for urban environments. The research results provide theoretical support for the significance of transit metropolis construction, and promote the sustainable development of urban transportation.

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A New Optimization Model for the Sustainable Development: Quadratic Knapsack Problem with Conflict Graphs

Sustainability ◽

10.3390/su9020236 ◽

2017 ◽

Vol 9 (2) ◽

pp. 236 ◽

Cited By ~ 2

Author(s):

Xiaochuan Shi ◽

Lei Wu ◽

Xiaoliang Meng

Keyword(s):

Sustainable Development ◽

Knapsack Problem ◽

Optimization Model ◽

The Sustainable Development ◽

Quadratic Knapsack Problem ◽

Conflict Graphs ◽

Quadratic Knapsack

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Optimization of Regional Water-Energy-Food Systems Based on Interval Number Multi-Objective Programming: A Case Study of Ordos, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17207508 ◽

2020 ◽

Vol 17 (20) ◽

pp. 7508 ◽

Cited By ~ 1

Author(s):

Junfei Chen ◽

Ziyue Zhou ◽

Lin Chen ◽

Tonghui Ding

Keyword(s):

Power Generation ◽

Sustainable Development ◽

Water Resource ◽

Optimization Model ◽

Food Production ◽

Thermal Power ◽

System Security ◽

Coal Production ◽

The Sustainable Development ◽

Multi Objective Programming

Water, energy, and food are the most important basic resources for economic and social development. In the context of global population growth, environmental degradation, and resource shortages, the interrelationship between the water, energy, and food has become increasingly important. In this paper, the city of Ordos in China was selected as a study area. Firstly, this paper sorted out relevant research literature and fully understood the concept of water-energy-food (WEF) nexus. Then, an optimization model of WEF system was constructed based on interval number multi-objective programming, which took the comprehensive coordination deviation degree of the WEF system security and carbon dioxide emission minimization as the target. At the same time, the optimization model was constructed with full consideration of constraints such as economic benefit, water resource consumption, energy production, food production and environmental pollution emission. The results showed that the production of coal, thermal power, hydropower, wind power, and food all show an upward trend. Among them, the production of hydropower has the largest change, and the food production has the smallest change. In terms of water resource utilization, food production has the largest allocation of water resources accounting for nearly 80%, followed by coal production, thermal power generation and hydropower generation. The smallest allocation is natural gas. In particular, the allocation of water for coal production and hydroelectric power generation has increased significantly. Finally, the policy recommendations were put forward to promote the sustainable development of WEF system in Ordos. The optimization research on the WEF system can help to ensure the WEF system security in Ordos and promote the sustainable development of WEF system, which also can provide reference for other regions.

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Decision-making problems in shaping the sustainable development of the transport system

AUTOBUSY – Technika Eksploatacja Systemy Transportowe ◽

10.24136/atest.2019.126 ◽

2019 ◽

Vol 24 (6) ◽

pp. 61-67 ◽

Cited By ~ 1

Author(s):

Marianna Jacyna ◽

Dariusz Pyza

Keyword(s):

Decision Making ◽

Sustainable Development ◽

Traffic Flow ◽

Transport System ◽

Evaluation Criteria ◽

Decision Problems ◽

The Sustainable Development ◽

Ecological Aspects

The article discusses decision problems related to shaping the pro-ecological transport system. The problems of shaping the transport system including pro-ecological aspects were discussed and evaluation criteria were discussed. The model of a pro-ecological transport system was presented and an exemplary task of optimizing the distribution of a traffic flow for a pro-ecological transport system was formulated.

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Psychological Work on the Sustainable Development Goals

Zeitschrift für Psychologie ◽

10.1027/2151-2604/a000371 ◽

2019 ◽

Vol 227 (2) ◽

pp. 160-161 ◽

Cited By ~ 1

Author(s):

Rainer K. Silbereisen

Keyword(s):

Sustainable Development ◽

Sustainable Development Goals ◽

The Sustainable Development ◽

Development Goals

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Time to revise the Sustainable Development Goals

Nature ◽

10.1038/d41586-020-02002-3 ◽

2020 ◽

Vol 583 (7816) ◽

pp. 331-332 ◽

Cited By ~ 8

Keyword(s):

Sustainable Development ◽

Sustainable Development Goals ◽

The Sustainable Development ◽

Development Goals

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Challenges of the Crisis: How to Measure Sustainable Development?

Voprosy Ekonomiki ◽

10.32609/0042-8736-2015-1-147-160 ◽

2015 ◽

pp. 147-160 ◽

Cited By ~ 5

Author(s):

S. Bobylev ◽

N. Zubarevich ◽

S. Solovyeva

Keyword(s):

Sustainable Development ◽

World Bank ◽

Environmental Indicators ◽

Calculation Methods ◽

Basic Principles ◽

The Sustainable Development ◽

Development Index ◽

Development Indicators ◽

Sustainable Development Indicators ◽

Adjusted Net Savings

The article emphasizes the fact that traditional socio-economic indicators do not reflect the challenges of sustainable development adequately, and this is particularly true for the widely-used GDP indicator. In this connection the elaboration of sustainable development indicators is needed, taking into account economic, social and environmental factors. For Russia, adaptation and use of concepts and basic principles of calculation methods for adjusted net savings index (World Bank) and human development index (UNDP) as integral indicators can be promising. The authors have developed the sustainable development index for Russia, which aggregates and allows taking into account balanced economic, social and environmental indicators.

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