Energy efficiency and environmental quality through Intelligent Vehicle Highway Systems (IVHS) technologies

The concept of intelligent vehicle highway systems (IVHS) is described, and the institutional barriers that the IVHS faces are examined. The goals and objectives of IVHS include improved safety, reduced congestion, increased and higher quality mobility, improved environmental quality and energy efficiency, improved economic productivity, the development of an IVHS supply industry in the United States, major changes in the transportation profession, and the development and deployment of a variety of technologies and partnerships between the public and the private sector. Institutional issues are discussed with reference to public-private partnerships, organizational change, and academia and the transportation research community. >

With the rapid development of society, urban traffic congestion has gradually become an important social problem that many cities need to solve. For Chongqing, traffic congestion not only affects residents’ normal travel but also brings more serious environmental pollution. Aiming at the problem of urban traffic congestion and automobile exhaust pollution, this paper adopts the system dynamics method to establish a model for studying urban traffic congestion system from the perspectives of private cars, trucks, and public transportation. First, we determine city motor vehicle trips as an indicator of the degree of traffic congestion in this paper. Second, we analyze the causal relationship between the growth of private cars, the travel of trucks, public transportation, population, and other factors and then build a model and test the stability of the model. Then, we add some practical policies to the model for policy analysis. Finally, it is concluded that the private car restriction policy is effective in controlling the amount of private car travel, and the purchase restriction policy controls the growth of the number of private cars from the root cause, but the development of public transportation is the most effective treatment measure in the long run.

Predictions and perceptions: Defining the traffic congestion problem

Vehicle traffic congestion is reflected as delays while traveling. Traffic congestion has a number of negative effects and is a major problem in today's society. Several techniques have been deployed to deal with this problem. In this paper, we have proposed an innovative approach to deal with the problem of traffic congestion using the characteristics of vehicular ad-hoc networks (VANET). We have used the adaptive proportional integral rate controller, a congestion control algorithm designed for the Internet, to deal with the problem of vehicle traffic congestion in vehicular networks. The adaptive PI rate controller is a rate based controller that employs control theory to manage the problem of data traffic congestion in computer networks. Using simulations we have demonstrated the applicability of the algorithm in the domain of vehicle traffic congestion in a VANET.

Energy and environmental conservation problems are increasing every day. The use of electricity began to experience shortages by about 1.6 billion people. The use of fuel oil (BBM) in road transportation requires a larger number along with the number of means of transportation. On the other hand, there is an inefficient use of energy for some equipment used by humans. Gasoline and electric vehicles generally use inefficient internal combustion engines. About 25% of the combustion results are used for vehicle operations, and 40% is lost to waste heat that is wasted. Waste heat is also wasted on household appliances. Global warming and environmental pollution due to the use of inefficient energy are also increasing. Research by experts on thermoelectrics shows good results in overcoming inefficient use of energy and can provide solutions to energy problems and environmental conservation. Its use is flexible, because it does not require complicated mechanical structures, and is also environmentally friendly. This paper provides a review that reviews the use of thermoelectric in various equipment that produces waste heat energy that has not been utilized optimally.

Urban traffic congestion causes huge economic losses and many social problems, such as, environmental pollution, energy consumption and longer commuting time. Accurate simulation and perception of traffic congestion scenes can help to analyze and solve the problems of traffic congestion. This paper presents a data-driven traffic congestion simulation method, which, by fitting the function relationship between traffic performance index (TPI) and the flow value of simulation input, simulates stable traffic scenes of the specified TPI. Three different virtual reality ways are applied to perceive the results of the simulation. The digital sand table is used to achieve the ”God's perspective” perception of overall congestion scenes; the virtual driving system realizes drivers' ”first-perspective” perception of traffic congestion scenes; a Myo-based virtual flight system is presented to roam and perceive congestion scenes from a ”free perspective”. The simulation and perception of traffic congestion scenes, serving as tool support, make contributions to the popularization education of traffic congestion, design evaluation of signal timing and driving behavior analysis. Experiments on various traffic scenes are conducted to verify the validity of the proposed method.

Climate change is an environmental problem that humanity will face over the next several decades. Environmental quality has always been an important component of the quality of life. The rapid rise in urbanization and energy use in China has profound environmental consequences. This study investigates the impact of energy use and urbanization on China’s ecological footprint and CO2 emissions from 1971 to 2016. The results reveal the positive relationship between China’s energy use and urbanization, while international trade and capital formation are adversely associated with its CO2 emissions and ecological footprint. Overall, energy use and urbanization deteriorate China’s environmental quality, while international trade and capital formation improve it. The results of Granger causality show bidirectional causality between urbanization and ecological footprint and between ecological footprint and CO2 emissions, while unidirectional causality runs from the ecological footprint to energy use and from international trade to the ecological footprint.

An attempt has been taken to identify the major causes of traffic congestion along with existing system deficiencies, their consequences, and finally a policy options are recommended on Chittagong Metropolitan City. For the study primary data were collected through questionnaire survey and secondary data were used from various sources. The collected data were analyzed by using statistical techniques. It was found that rapid growth of population, inefficient land use pattern, indiscriminate roadside uses, past urban development trends and inadequate land use planning are responsible for traffic congestion in the city area. Lack of coordination and integration of concerned institutions is one of the major system deficiencies of traffic congestion situation in the study area. Opinion survey revealed that the overall quality of transportation system of Chittagong city is unsatisfactory. DOI: http://dx.doi.org/10.3329/cujbs.v3i1.13415 The Chittagong Univ. J. B. Sci.,Vol. 3(1&2):149-160, 2008

Traffic congestion is a global and crucial problem due to increase in demand and limited network transportation structure. Complex traffic structure, imbalanced traffic flow, and uncertain event like road accident are among of the identified factors that may cause traffic congestion. Traffic congestion problem causes delay in travelling, increase in travelling cost and accident rate and may affect air pollution. Numerous approaches have been developed and proposed in solving these problems. Among them are traffic signal controls, congestion pricing, turning restrictions and traffic routing. Various methods have been employed include mathematical model, heuristic and meta-heuristics. This paper presents a review on recent approaches that have been proposed for traffic congestion problem and methods used for implementation. This review provides a bigger picture on recent approaches; provide a comparison and suggestion for future research in traffic congestion relief.

Spatial distribution complexities of traffic congestion and bottlenecks in different network topologies

Outdated technologies in drying processes can lead to iПеrrational use of energy, as a consequence, high energy consumption and increased energy consumption. Therefore, the issues of energy saving and energy efficiency are the most important tasks to be solved. Nowadays, energy saving and energy efficiency are also part of the environmental problem. Ukraine, which has a unique geographical position for Europe, is fully supplied with natural resources, - one of the countries where there is inefficient use of energy resources. One of the energy-consuming areas of vegetable processing is drying. In the modern world, the issue of energy efficiency of drying methods is one of the most relevant areas of research. Convective drying of vegetable raw materials requires a rational use of regime parameters of the process corresponding to the biochemical properties of the processed object. The primary objectives of this area of processing of vegetable raw materials are to reduce energy costs and ensure high quality characteristics of the final product. This article presents the developed heat-technology for obtaining phytoestrogenic powder from soybeans and spinach. Which includes 3 stages: preliminary preparation of raw materials for drying; drying of thermolabile vegetable raw materials; dispersion and packaging of the obtained phytoestrogenic powder. As a result of previously conducted comprehensive research, it was found that the use of heat technology reduces energy costs at the stage of preparation of raw materials through the improvement of existing hydrothermal treatment of soybeans, as well as energy savings of 21% through the use of developed step modes. Studies of the qualitative characteristics of the obtained phytoestrogenic powder confirm the high quality of the final product.

Traffic congestion, inefficient use of transport fuels and vehicular emissions are problems that many cities in the developing countries are now facing. These problems are interrelated because vehicle fuel consumption and emissions are closely related to vehicle travel speed. To provide an efficient and environmentally sound transport system has increasingly become a prerequisite for quality urban life. The first part of this paper looks into the underlying causes of traffic congestion and its impacts on transport energy use and the environment with particular reference to the urban areas of developing countries. The second part describes the strategies that Singapore has adopted over the past two decades to tackle these problems. The rationale and the effectiveness of the implemented measures are also discussed.

In these years, a problem of traffic congestion is a growing concern due to increasing vehicle holders in urban areas. One of key issues to ease the traffic congestion is a traffic signal control. In this paper, we propose a control system for traffic signals by a vehicle route sharing. The vehicle route sharing is to share position and path information (i.e., probe data) among vehicles. The shared information is used for calculating a criteria of traffic congestion called expected traffic congestion. The parameters of traffic signals (i.e., cycle, split, and offset) are optimized on the basis of the expected traffic congestion. We performed a multiagent simulation to evaluate the effectiveness of our proposed system. The results show that our proposed method can ease traffic congestion effectively compared with other traditional methods.

A pattern recognition approach to data fusion in Intelligent Vehicle Highway Systems : Palacharla, Prasad V., Ph.D. University of Illinois at Chicago, 1995. 78 pp.

Traffic congestion is one of the major problems facing Yangon and is attributed to many factors including rapid population increase, poor road infrastructure, city structure, the rapid increase in the number of cars, and a lack of physical car parking plan. For this congestion problem, people can be lost their valuable time and cost. To avoid traffic congestion problems, the best choice of the urban transport system with multiple criteria such as Car Capacity (CC), Required Time (Time), Car Parking Place (PP), Required Cost (Cost), and Travelling Cost (Cost) are introduced in the proposed approach. Before applying the multicriteria analysis method, this paper analyzes the traffic congestion problem by using the Functional Resonance Analysis Method (FRAM). In this analysis, data collected from the Yangon Traffic Control Center (TCC) and show the traffic congestion status using Queuing Model. Based on the traffic congestion status, AHP is applied by identifying suitable alternative solutions of the urban transport system such as rail transport system, public bus system, taxi system, and private car system for the dedicated urban area in Yangon. As a result, the government can consider the urban transport system to avoid traffic congestion problem.