جستجوی مقالات مرتبط با کلیدواژه "intelligent transportation system" در نشریات گروه "عمران"

The Electronic Toll Collection (ETC) system has gained attention as an advanced method for toll collection on expressways, highways, and roads. This system improves the passenger experience by allowing vehicles to pass through toll collection points without stopping and deducting the toll electronically from the driver's account. The main advantage of this technology is the reduction of traffic congestion near toll collection points, which leads to smooth transportation, uninterrupted traffic flow, congestion reduction, environmental improvement, revenue generation, and increased road safety. This study examines the priorities and existing issues in the country's expressway network. It also investigates the experiences of electronic toll collection in other countries and the performance of the ETC system. Finally, the method of electronic toll collection in Iran, currently being conducted by banks and implementing companies, is analyzed, and its advantages and disadvantages are examined. Additionally, the ETC system will be compared to the traditional (manual) toll collection method in terms of vehicle traffic recording and toll collection point performance. This research aims to improve the country's expressway network and enhance the electronic toll collection system, providing sugges-tions and solutions for its improvement and optimization.

The problems and challenges of the transportation business include environmental pollution, reduced amount and increased cost of energy resources, material and moral harms of increased accidents, surveillance, and management of suburban transportation, increased wasted time, and the quick expansion of transportation needs, particularly during rush hour in the metropolises worldwide today. Progress in public knowledge, better living standards, the increased value of time, and the introduction of novel sciences and technologies regarding this business have led to higher expectations. This phenomenon has become a serious threat from one point of view and a chance for profitable investment from the outlook of marketers and experts. In this respect, the ITS (intelligent transportation system) has been employed to tackle these problems. Hence, this study addressed reducing gasoline consumption using the ITS on Iran's Karaj-Chalous axis. The statistical population of the research includes vehicles moving during the eight busy days of September 2017 from 1 am to 24 pm on the Karaj-Chalous axis. Selective sampling was not performed. The results proved that the ITS decreased the travel time on the Karaj-Chalous axis and, therefore, the gasoline usage.

The development of roads to meet the demand of cities has lost its efficiency in the modern world. Experts have found a solution to traffic problems, managing travel demand and increasing the efficiency of the transportation system. One of the ways to increase the efficiency of the transportation system is to use intelligent transportation systems. In this research, the causes of dissatisfaction of bus passengers are determined by a questionnaire, so that appropriate smart solutions can be selected based on that; Then, information is collected through Tehran Bus Company and field observations, and the current state of the network is calibrated using the information available in the pedestrian simulator software and according to the field observations. Finally, scenarios are defined to reduce delays and, as a result, reduce bus travel time. The proposed scenarios are simulated in the software. In this study, the impact of ITS as a tool to reduce bus travel time has been investigated. By intelligently removing stops at undemanding stations, using variable message signs (VMS) for drivers to increase speed, and eliminating cash fare payment, travel time can be saved by 9.8, 4.4 and 4.1 percent, respectively. The results obtained from this research show that by combining the two scenarios of intelligent elimination of stops at stations with no demand and the use of VMS signs to increase the speed, the bus travel time on the desired line from 317 seconds per kilometer to 261 seconds per kilometer. (17.7 percent) decreases.

This study aimed to estimate the environmental effects of reducing CO2 emissions by using ITS in Iran (Case study of Karaj-Chalous axis). The present research is applied in terms of purpose-based classification. The idea of applied research is to develop applied knowledge in a particular field. Furthermore, this research is descriptive-correlational in terms of method and nature. The statistical population of this study is the vehicles traveling during the eight busy days of September from 1 am to 00:00 in the Karaj-Chalous axis in 1398 during the study time. No other specific sampling was performed. All calculations and analyzes were performed using Excel and 10Eviews software. The results revealed that the application of the intelligent transportation system had decreased travel time on the Karaj-Chalous axis and, therefore, reduced the carbon dioxide (CO2) emissions. The outcomes indicated that the use of the intelligent transportation system (ITS) during the eight days of the research had decreased 10129069 kg of carbon dioxide emissions in the Karaj-Chalous axis.

Today, with the expansion of the use of smart phones, every passenger is also equipped with a small GPS device. This issue has provided a new range of information, the analysis of which will help to improve the performance of the taxi transport fleet. However, the survival and success of businesses that provide online transportation services depends on attracting new customers and maintaining previous customers, and with the growing desire to use these services, it seems necessary to investigate the factors affecting the profitability of these companies. The present research investigates the effect of online service level and perceived risk on the intention to use online services. The statistical population of this research is the customers of Snap smart transportation system in Tehran, who used the online services of this company. The results of the analysis of 419 questionnaires collected using the structural equation modeling method showed that the level of service (pre-purchase services and services related to transaction and payment) has a positive effect on the intention to use online services, and perceived risk has a negative effect on the intention to use of online services. Finally, suggestions for attracting and retaining customers are presented to internet business managers.

Reading license plate has applicable role in intelligent transportation system. In law enforcement systems and electronic toll collection systems, if reading license plate does not correctly done, then negative feedback from drivers can be provided. There is some reason for no detection of license plate like: low resolution license plate and small license plate because of distance. To overcome this drawback, the goal of this paper is to increase resolution of license plate image. Super resolution can be cheap software solution. In this paper based on image processing and intelligent training, novel methods for image super resolution are compared to select the best one for license plate image super resolution. Input is a low resolution image and output is higher resolution image correspond with low resolution image. These methods, with the help of many low resolution and high resolution images, enables the ability to increase license plate reader accuracy under low resolution conditions.

Today, the use of intelligent transportation systems with the aim of smooth traffic and location of passengers and goods, as well as increasing safety and protecting the environment has been widely considered. Variable message signs, abbreviated VMS, are traffic control devices. They are used to inform drivers on time. In this study, locating was performed in two different ways. First, the cell transfer model was performed for Azadi Street in Tehran. Then, this was done on the desired area through an optimization model. According to the analysis and comparison of the two models, it was concluded that the optimal mathematical model determines a greater distance to determine the location of the variable message signs. It also further reduces the amount of input to the blocked area and the total travel time, indicating that this model is more suitable than the cellular transmission model. However, the difference between the two models was very small. The optimal location of the variable message signs was 515 m for the cellular transmission model and 725 m for the optimal mathematical model.

Regarding the transport issues and its increasing demand in metropolitans, especially during peak hours, and the fundamental role of the Information Technology (IT) to ease the urban life, introduction of new solutions for amelioration of traffic situation through these technologies is possible. This role within the ITS (Intelligent Transportation System) concept framework is very efficient in urban and interurban traffic control. In fact, ITS integrates information and communication technology to the vehicles and road networks through which passengers and freight are transported.
This paper aims at concepts, definitions, infrastructures and advantages of ITS and states the ITS situation in Iran and Tehran in brief. Iran needs ITS and implements this technology in some levels but the lack of ITS strategic plan in national level results in vulnerability of project progress and prevents to reach the expected result. Furthermore, concerning the need of ITS to technical knowledge in Traffic Transportation, ICT and organizational and management programs and strategies, it is required that planning and implementation of projects will be done by an appropriate experts of related fields.

Traffic sign recognition plays a vital role in the intelligent transportation system, which increases traffic safety by providing safety and precautionary information about road hazards to drivers. Knowledge of how humans process the meaning of symptoms reduces the time it takes to respond to them and make decisions while driving. Although the expansion of the transportation network helps in the discussion of traffic, this expansion may not be feasible due to high financial costs, geographical and environmental constraints, as well as long-term improvements to transportation infrastructure. These limitations can be minimized with Traffic Management Systems (TMS). Efficient use of resources and waste reduction are key goals in managing a smart city, in which traffic and transportation activities have a significant impact. In smart city approaches, the use of intelligent processing methods in vehicles to increase safety is proposed without any interference in the driving process. This study addresses an innovative system that aims to assist councils in developing a road management plan and creating a framework for placing street signs and intelligent car systems using Google Images (GSV). Recent advances in machine memory detection technology have provided Google Automated Images with an automated approach to identifying and classifying street signs, allowing it to be used to produce a standalone image recognition system to improve traffic information monitoring and storage. This article reviews and compares studies and developments related to traffic signs and signs in smart cities and intelligent transportation systems. The results show a reduction in travel time, improved vehicle maintenance and transportation system logistics, better fleet utilization, reduced vehicle fuel consumption and CO2 emissions.

Traffic safety is one of the main challenging issues in transportation engineering. Hhuman factor in most reports has also been announced as an effective factor in accidents. Various methods have been proposed for controlling and warning drivers in order to prevent violations. The methods can be classified into traditional and modern categories. Nowadays applying intelligent transportation systems are so popular, but deciding about their application is done often based on personal judgments. However, these systems have various benefits and disadvantages and each one must be applied in the proper case. In this paper we want to compare 4 scenarios containing 1- No control 2- Controlling by police 3- Applying cameras and 4- Intelligent transportation systems in the road. These scenarios are different in application, cost of application, precision and proportionality to the road classification. Here, a model for decision making based on 7 criteria and by Fuzzy Inference System would be developed. Then the proposed model would be tested for a case study in Kerman County for 5 rural roads. Results indicate that the proposed model can be a helpful method in order to decide about selecting the proper scenario to control the rural roads based on technical and economic criteria.

Recognizing the pattern of movement and the traveling mode is one of the most important issues in the field of urban analysis and transportation management. Disadvantages of the traditional method such as the questionnaire is the lack of availability and cost. So, after the emergence of new technologies, communication tools such as mobile phones are used to collect and analyze traffic data. The Wi-Fi network has been considered by intelligent transportation systems due to high availability and low cost. In this research, users in the specific area are classified into three categories using the Wi-Fi scanner. Pedestrians, passing cars and users who stop in the area for long time. This classification has been made using the extraction three features on the users' Wi-Fi signals and using an adaptive network-based fuzzy inference system (ANFIS) model. The results show that the proposed model for using the subtractive clustering method in the first layer of ANFIS to determine the initial membership function of the features has been able to classify the three categories with a accuracy of 84%, and the precision and recall of the user's detection Which used cars in this area, was 75% and 90%, respectively.

Intelligent transportation system (ITS) is coordination of the facilities, services, communication in an integrated framework. Its aim is to provide a set of units to reduce transportation's problems. Determination of user services is the first step for developing ITS architecture. In this research the availability of user services of our country was determined by using the method of ITS in the United States of America. User's demands were collected by field study and interview with both people and experts of project. Finally, the user services and their effects on the benefits of systems are presented in the form of a service packages.