scholarly journals Reduction of Fuel Consumption and Exhaust Pollutant Using Intelligent Transport Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Mostofa Kamal Nasir ◽  
Rafidah Md Noor ◽  
M. A. Kalam ◽  
B. M. Masum

Greenhouse gas emitted by the transport sector around the world is a serious issue of concern. To minimize such emission the automobile engineers have been working relentlessly. Researchers have been trying hard to switch fossil fuel to alternative fuels and attempting to various driving strategies to make traffic flow smooth and to reduce traffic congestion and emission of greenhouse gas. Automobile emits a massive amount of pollutants such as Carbon Monoxide (CO), hydrocarbons (HC), carbon dioxide (CO2), particulate matter (PM), and oxides of nitrogen (NOx). Intelligent transport system (ITS) technologies can be implemented to lower pollutant emissions and reduction of fuel consumption. This paper investigates the ITS techniques and technologies for the reduction of fuel consumption and minimization of the exhaust pollutant. It highlights the environmental impact of the ITS application to provide the state-of-art green solution. A case study also advocates that ITS technology reduces fuel consumption and exhaust pollutant in the urban environment.

2018 ◽  
Vol 4 (10) ◽  
pp. 10
Author(s):  
Ankur Mishra ◽  
Aayushi Priya

Transportation or transport sector is a legal source to take or carry things from one place to another. With the passage of time, transportation faces many issues like high accidents rate, traffic congestion, traffic & carbon emissions air pollution, etc. In some cases, transportation sector faced alleviating the brutality of crash related injuries in accident. Due to such complexity, researchers integrate virtual technologies with transportation which known as Intelligent Transport System. Intelligent Transport Systems (ITS) provide transport solutions by utilizing state-of-the-art information and telecommunications technologies. It is an integrated system of people, roads and vehicles, designed to significantly contribute to improve road safety, efficiency and comfort, as well as environmental conservation through realization of smoother traffic by relieving traffic congestion. This paper aims to elucidate various aspects of ITS - it's need, the various user applications, technologies utilized and concludes by emphasizing the case study of IBM ITS.


2021 ◽  
Vol 81 (1) ◽  
pp. 97-102
Author(s):  
M. Zhailaubekov ◽  
◽  
E. Zhailaubek ◽  

The progress of work on the creation of an "intelligent transport system" in Kazakhstan, the development and modernization of the road industry will be reported. The economic and social effectiveness of several transport corridors and new projects were analyzed. Transport corridors of foreign countries, methods of providing logistics services were presented. In his address, the head of state paid special attention to the issues of digitalization of all spheres of life of the population, including the transport sector of Kazakhstan. Currently, the Ministry of investment and development of the Republic of Kazakhstan is working on the creation of an "intelligent transport system" within the framework of the state program «Digital Kazakhstan» (ITS). ITS goal is to systematically integrate transport infrastructure, transport devices and users with modern information and communication technologies aimed at improving the safety and efficiency of the transport process. The concept will include 11 components in ITS. One of them is a special automated measuring instruments (UAVs), which are installed in the main automobile corridors. This device is designed to measure moving vehicles without contact and eliminate unjustified stops. This year, it is planned to put into operation 10 units of RSPP, and by 2020 it is planned to increase their number to 46 units. It is also planned to introduce a traffic management system that will inform drivers about the situation on the roads, a system for forecasting and analyzing climatic conditions, which is carried out through a network of weather stations along the roads, a network of video monitoring and special video cameras for detecting traffic violations, toll road systems that cover the cost of maintenance of the national road network, etc. They will be introduced in stages until 2021. The implementation of this project will reduce road deaths, increase the volume of transit traffic and the speed of logistics services, fully cover the main highways with measuring instruments and create favorable conditions for drivers on the roads. Such systems are already operating in South Korea, Japan, Australia, Europe and the United States.


Author(s):  
Roman Dushkin

This article presents an original perspective upon the problem of creating intelligent transport systems in the conditions of using highly automated vehicles that freely move on the urban street-road networks. The author explores the issues of organizing a multi-agent system from such vehicles for solving the higher level tasks rather than by an individual agent (in this case – by a vehicle). Attention is also given to different types of interaction between the vehicles or vehicles and other agents. The examples of new tasks, in which the arrangement of such interaction would play a crucial role, are described. The scientific novelty is based on the application of particular methods and technologies of the multi-agent systems theory from the field of artificial intelligence to the creation of intelligent transport systems and organizing free-flow movement of highly automated vehicles. It is demonstrated the multi-agent systems are able to solve more complex tasks than separate agents or a group of non-interacting agents. This allows obtaining the emergent effects of the so-called swarm intelligence of the multiple interacting agents. This article may be valuable to everyone interested in the future of the transport sector.


2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Akshay Kumar MV ◽  
Amogh C ◽  
Bhuvan S Kashyap ◽  
Drupad N Maharaj ◽  
Shazia Sultana

India accounts for the highest road accidents and traffic congestion globally. The necessity for a canny vehicle framework is of great importance. VANET, abbreviated as Vehicular ad hoc networks is a network created in an ad hoc manner where different vehicles can exchange useful information among each other with dedicated servers ensuring safe travel. Security in VANET has always been a challenge in implementing a real time intelligent transport system. VANET is a type of mobile ad-hoc, to give correspondences among close by vehicles and among vehicles and close by fixed hardware. Vehicular ad hoc networks are highly dynamic in nature and suffer from frequent path breakage due to the high velocity of the moving vehicle. Hence, there are many security challenges and different types of attacks that makes VANETs less secure. Therefore, providing secure dedicated short-range communication (DSRC) easefully with any loss of data or malicious nodes has been a major research area. The major concern being addressed in the paper is to provide secure communication and save lives in road accidents. The role of security is high and messages in DSRC send warning messages to other vehicles. If attackers change these messages, then accidents become a part of the network and users’ lives can be at risk. Different classes of attacks include monitoring attack, social attack, timing attack, application attack and network attack to name a few. Advanced encryption standard is a symmetric block encryption algorithm. There is no evidence to crack this algorithm till date. This paper will provide a detailed overview of VANET architecture, types of attacks on VANET, AES algorithm and its salient features and how this algorithm could be utilized to make intelligent transport systems secure.


2016 ◽  
Vol 27 (12) ◽  
pp. 1650149 ◽  
Author(s):  
Lili Ma ◽  
Zhanli Zhang ◽  
Meng Li

In this paper, taking the traffic of Beijing city as an instance, we study city traffic states, especially traffic congestion, based on the concept of network community structure. Concretely, using the floating car data (FCD) information of vehicles gained from the intelligent transport system (ITS) of the city, we construct a new traffic network model which is with floating cars as network nodes and time-varying. It shows that this traffic network has Gaussian degree distributions at different time points. Furthermore, compared with free traffic situations, our simulations show that the traffic network generally has more obvious community structures with larger values of network fitness for congested traffic situations, and through the GPSspg web page, we show that all of our results are consistent with the reality. Then, it indicates that network community structure should be an available way for investigating city traffic congestion problems.


2019 ◽  
Vol 20 (3) ◽  
pp. 236-243
Author(s):  
Irina M. Popova ◽  
Sergey V. Timofeev ◽  
Igor K. Danilov

The article discusses the application of intelligent transport systems for railway transport. The purpose of developing intelligent transport systems on railway transport is to strictly comply with the requirements for ensuring transport safety, reducing the level of environmental impact, significantly improving the efficiency of production activities. The software makes automatic accounting, control and analysis of fuel and energy resources consumption on the basis of the obtained data. At the same time, the dynamics of changes in fuel consumption indicators, actual and estimated costs of diesel fuel are visually reflected in real time on the monitor screen. If necessary, the system will help to identify the reasons for non-matching of these parameters and quickly contact the locomotive team to provide qualified assistance in their elimination. It is important that the hardware structure and the structure of the system software expand functionality, providing continuous operation and repair work, increasing the number of measured parameters, creating a closed fuel consumption control system in a locomotive economy. The use of these systems makes it possible to obtain an integrated assessment of the heat engineering condition of a locomotive with further scientifically substantiated correction of overhaul runs, to control its location and solve many other problems, which contributes to an increase in overhaul runs and the operational life of the locomotive.


2017 ◽  
Vol 19 (4) ◽  
pp. 614-640

The problem of reducing CO2 emissions from transport, a major contributor to the greenhouse effect, has become a growing concern for the scientific community and various international committees monitoring climate change. Energy savings in the transport sector are a key factor towards rational management of oil reserves, while new trends in the automotive market have already been established, supported by research on efficient and environmentally-friendly technologies and alternative fuels to face fossil fuel dependency. The road transport sector is an important part for most developed economies but also a major source of pollutant emissions. In this framework, this paper focuses on transport emissions along the main road axis in Greece, connecting the country’s two largest urban areas, during the years 2008-2014, a period of prolonged recession. Based on traffic data collected at the toll stations along the highway, greenhouse gas and pollutant emissions were calculated using the COPERT4 emission estimation tool. According to the results, a sharp fall in emissions is observed largely due to traffic volume reductions, but also due to a prevailing trend for larger displacement vehicles and technologically improved vehicles with better environmental standards.


2018 ◽  
Vol 19 (3) ◽  
pp. 12-15
Author(s):  
Tadeusz Dyr

Intelligent transport systems are essential factor of dealing with cities’ communication issues. Their implementation enables sustainable mobility planning. In consequence it reduces congestions and transport’s negative impact on the environment. In this article, with theoretical considerations in the background, has been presented piece of one the most intelligent transport system – OnTime application by Pixel.


2021 ◽  
Vol 2061 (1) ◽  
pp. 012093
Author(s):  
S E Buznikov ◽  
V V Evgrafov ◽  
A M Saykin

Abstract The relevance of the research topic is defined by the global level of significance of the problem of creation and safe operation of driverless transport on public roads. The research objective was to develop a mathematical model of the problem that allows forming a scientifically grounded strategy for driverless transport progress. The Zwicky Morphological Box method was used as a research method, which allowed building a structured set of intelligent transport system variants. Variables corresponding to the hard-surfaced road types, the level of informational support in the form of digital road models and the level of control tasks with increasing complexity were used as structural variables. A complex of tasks required to control traffic or driving in closed territories, on highways, suburban motorways passing through human settlements, urban streets, and yards has been defined. The control task complexes of each consecutive level include the task complexes of all the previous levels, and the digital road models of a higher level contain the digital models of all the previous levels. The analysis of the obtained results allowed building a trajectory of progressive development of the driverless vehicle focus area within the field of control task levels, road types, and their digital models.


2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Rana Imam ◽  
Seong-Cheol Kang ◽  
Diana Quezada

Being able to provide high-quality, metro-like transit service at a fraction of the cost of other options, bus rapid transit (BRT) has been viewed as one of the most cost-effective public mass transport systems suitable for urban areas. Considering significant amounts of greenhouse gas (GHG) and air pollutant emissions are attributed to the transport sector, deploying low carbon buses for BRT systems should be of high priority. With a view to promoting low carbon buses instead of diesel buses for a BRT system currently being planned in Amman, Jordan, this paper evaluates several low carbon bus options – hybrid, plug-in hybrid, opportunity charging, trolleybus, and battery electric bus options – against the baseline case of diesel buses. While low carbon buses reduce GHG and air pollutant emissions often considerably, they usually require higher upfront capital costs and additional infrastructure investments. On the other hand, they tend to incur lower energy and maintenance costs and have a longer lifetime particularly for battery electric buses. All these advantages and disadvantages are included in the assessment of low carbon bus options relative to diesel buses. For the trunk routes of the Amman BRT, the analysis shows that the opportunity charging bus can be the most appealing option having a positive internal rate of return (IRR) for the incremental investment costs. For the feeder routes, both low carbon bus options considered, hybrid and battery electric, do not result in a positive IRR. Nevertheless, the battery electric bus is found to be a comparatively better option than the hybrid bus. In consideration of variability in several parameters used in the analysis such as capital expenditures, electricity price, and diesel price, a sensitivity analysis is conducted for both trunk and feeder routes. The results show that IRR could increase favorably under certain conditions.


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