مهندسی عمران-راه و ترابری
Abdul Atiq Amiri; Reza Amin; Ali Khodaii
Abstract
Transportation of goods and passengers, especially by road and land, has been one of the most important needs of the human since ancient times until today. But some problems such as, environmental pollution that caused by transportation, increasing damages due to accidents, reducing energy resources, ...
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Transportation of goods and passengers, especially by road and land, has been one of the most important needs of the human since ancient times until today. But some problems such as, environmental pollution that caused by transportation, increasing damages due to accidents, reducing energy resources, traffic controlling and management problems, and increasing unauthorized speeds caused people to think of using new and effective solutions in this way, to solve the existing problems and improve the transportation process. So using from ITS, has been able to solve these problems largely. Intelligent Transportation System (ITS) is a new concept in this way that means the use of new technologies such as communications, controls, and electronic systems and increase the efficiency, security and dynamism of transportation. This article first introduce the ITS system and the effect of this system in road transportation, then the run of ITS system in Iran until the end of year 1400. The findings show a decrease in air pollution (25% in Sydney city according to statistics), a decrease in fuel consumption (10% in Paris city according to statistics), an increase in efficiency and traffic flow monitoring in the world's leading cities due to the use of ITS system, and also the use of some intelligent systems such as online traffic counter, weigh in motion, variable message displays and speed control and video surveillance cameras in the provinces of Iran by the end of 1400.
مهندسی عمران-راه و ترابری
Ahamad Jawad Ramaki; Reza Amin; Ali Khodaii
Abstract
Recognizing traffic signs is very important in the field of intelligent transportation systems, because it effectively increases the safety of our roads. By equipping drivers with vital information about potential hazards, this technology significantly reduces response time and helps making quick decisions ...
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Recognizing traffic signs is very important in the field of intelligent transportation systems, because it effectively increases the safety of our roads. By equipping drivers with vital information about potential hazards, this technology significantly reduces response time and helps making quick decisions while operating the vehicle. Due to the exponential growth of our population, unfortunately the increase in the number of vehicles has led to a painful increase in traffic fatalities and injuries. Although the expansion of the transportation network helps the traffic issue, this expansion may be inapplicable due to the High financial costs, geographic and environmental limitations, as well as a long period of time to improve transportation infrastructure. Quality control of traffic colors, shabrangs, glass beads and other traffic signs in accordance with national and international standards will significantly reduce the number of dead and injured. Managing a smart city with emphasis on waste reduction and efficient use of resources is the main responsibility of traffic and transportation activities. The use of complex processing techniques in cars to increase safety without interfering with driving has been proposed as part of the concept of a smart city. This study looks at a new approach that can help create a framework for placing street signs using Google images into a traffic management program. The findings show a reduction in travel time, an increase in the use of the fleet, better maintenance of vehicles, and a reduction in carbon dioxide emissions from passenger cars.
Reza Akbarigheibi; Daryoush Jalili; Vahid Bakhshi
Abstract
Today, with the increase in the volume of traffic and the growth of travel, organizing and managing traffic is one of the necessities of urban medicine. Also, Traffic identification has become a challenging task in recent years. Recently, deep learning methods have been extensively studied for network ...
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Today, with the increase in the volume of traffic and the growth of travel, organizing and managing traffic is one of the necessities of urban medicine. Also, Traffic identification has become a challenging task in recent years. Recently, deep learning methods have been extensively studied for network traffic classification recently. Unfortunately, these models require a large amount of training data. Another challenge with most traffic classification methods is that the features must be extracted by an expert. In these methods, finding the desired features that lead to a better classification is very tedious and time-consuming. Therefore, new measures are needed to reduce urban traffic more than before. The purpose of this study is to investigate new methods of urban traffic control. Which is mostly based on previous research and analysis. Studies on new methods and models of traffic reduction, including technology, technology and intelligent systems, have been collected and reviewed in recent years. The results show that the use of these new technologies can estimate the volume of hidden traffic, improve traffic flow, accurately predict travel time operations and traffic volume, determine the appropriate service level, increase the capacity and efficiency of existing infrastructure. Transportation and specification of travel time, maximum queue length, queue stop, vehicle delay, stop delay and number of stops.
