جستجوی مقالات مرتبط با کلیدواژه "سیستم حمل و نقل هوشمند" در نشریات گروه "عمران"

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.

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.

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 congestion is one of the big problems in large cities. The high volume of traffic causes slow transportation, long stops times behind traffic lights and psychological damage for passengers and drivers. By advances in communication systems, intelligent traffic systems can play more roles in optimization of traffic flows in large and crowded cities. Today ubiquitous broadband networks provide real-time traffic data collection by which traffic routing can be optimized intelligently. Dynamically changing of traffic and also impact of traffic in one route on other related routes is one of the main challenges that make it difficult to globally optimize the traffic flow. Regarding to this issue, in this paper, we propose a new model to calculate the street travel time in which each vehicle finds its optimal routes according to its origin and destination, dynamically. In our proposed method, urban traffic situation is evaluated periodically and the streets with high traffic congestion potential are identified via diagnosis and prediction algorithms. Then the selected vehicles are re-rerouted based on shortest path by using Dijkstra’s algorithm. In addition to rerouting the vehicles according to current situation, we tune the traffic lights dynamically. Our performance evaluation through simulation shows the efficiency of the proposed method in optimization of traffic flow

Weigh In Motion system (WIM) is known as an important component of ITS, its usage is increasingly to be applied for axle load enforcement. Huge investment in construction and maintenance of pavement leads policy makers to tackle overloading using weigh in motion systems. Installing weight in motion system is a high investing constructive project in terms of needed special pavement, electronic devices, and data transferring device and human resource to overloading reduction and save pavement condition in proper situation. Following the above mentioned, it is necessary to be a trade-off consideration between pavement cost repairing and installing weigh in motion system. So in this research will be presented on the basis of break-even at the cost of purchase, installation, operating and maintenance costs of the system and saves the cost to repair the pavement as the top model in terms of income. The average overloaded axles under enforcement performed by authorities to tackle overloading is studied a criterion and the proposed model determines the minimum average overloaded axes in which installing WIM would be an economic project. Although, the proposed model is designed as a parametric pattern, but an installed WIM system has been selected as case study and the number of required enforcement calculated. Results of this study will help decision-makers in the field of transport, as in the operation of WIM to achieve a balance between costs and revenues from it the right decision to take.

In this paper, the general format sensor networks and components and structural framework of collecting traffic information systems based on sensor networks is discussed and the potential difficulties in implementation and strategies for the Analytical discussed. The different types of sensors can be used in intelligent transportation systems (induction loop, magnetometer, magnetic sensors, radars, microwave, infrared, active and passive Aytfrard) is introduced and the capabilities, strengths, weaknesses, and unfavorable planting conditions, how to assess the characteristics of cars and their placement is discussed and analyzed.

Transportation problems such as environmental pollution, reduction of energy resources, increase moral and material damage of casualty, monitoring and management problems in suburban transportation, increasing wasted time and rapid growth trend of demand for transportation particularly at peak hours has become serious problems. Increase in transportation facilities due to the need for capital investment and much running time faces always wide limits and it is impossible to solve the limitations of traditional methods. So in the decade of 1980, it was considered with a glance at the progress in communications technology and electronics to overcome the above problems. Intelligent Transportation Systems (ITS) means the use and application of new technologies in order to promote safety, efficiency and cheap transportation. According to Iran’s geographical and natural position in the field of transport should be considered Transportation and development. Traditional methods don’t have enough effect and problems like Congestion in all countries caused to more attend to Intelligent Transportation Systems. Common use of modern information technology time management and Communication networks caused to improved ITS. It is one of the most effective strategies to achieve goals. In this article is described about necessity of ITS projects and the effect of application ITS to reduce the financial load on budgeting. At the end of this paper, has proposed a model for organizational structure of the intelligent transportation systems in Iran.