List of Articles حمل‌ونقل هوشمند

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  1 - Prioritizing obstacles of industry - university interaction in order to develop of intelligent urban transportation infrastructures using Fuzzy AHP
  Hamzeh Amin-Tahmasbi aboozar ghorbani
  Any society to achieve real and sustainable development goals requires continuous interaction between scientific and technical institutions, takes form in the template of university and industry. In fact, universities are generating knowledge and transferring it to scho More

  Any society to achieve real and sustainable development goals requires continuous interaction between scientific and technical institutions, takes form in the template of university and industry. In fact, universities are generating knowledge and transferring it to scholars, the industry also works to apply knowledge and shares its expectations to university research teams, and they present their ideas, findings and outcomes to the industry. Transportation science also is no exception, and in recent years, it has introduced and implemented new technologies called Intelligent Transportation Systems (ITS) in universal level. Studies in Iran show that transferring knowledge between university and intelligent transportation industry face challenges and obstacles that have led industry owners to the direction of assembling imported components and escaping from universities. This study aims to explanation and interpretation of viewpoints of university and industry section experts about obstacles that affect transferring knowledge between these two institutions in line with implementation of intelligent urban transportation. In this research, firstgy determined effective indices of industry – university interaction obstacles by searching library and documentation resources. Fuzzy Delfi is used to sieve indices and identifying final submeasures. As 43 suggested obstacles were initially available to transportation science experts and by this technic, at first stage 27 obstacles and then, 15 obstacles were chosen for evaluation and ranking. Ranking was also done though fuzzy AHP. Results showed that lack of necessary infrastructures in ITS industry, and lack of applicability in science production areb the main obstacles of industry – university interaction in order to develop infrastructures of intelligent urban transportation Manuscript profile
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  2 - Legal Study of Dynamic Pricing Strategy in Companies Providing Intelligent Transportation Services with Emphasis on Snapp Application
  Mansour Amini Sadegh Sayyadi
  10.61186/jstpi.33195.19.74.88
  E-commerce means using electronic tools in the process of doing new business. This type of business, as a link between technologies and the business market, has created a stable market for the employment of different groups. Some modern businesses have developed new ele More

  E-commerce means using electronic tools in the process of doing new business. This type of business, as a link between technologies and the business market, has created a stable market for the employment of different groups. Some modern businesses have developed new electronic tools that make them different from other businesses. Intelligent agents, which act as tools for technology-driven companies, are responsible for the dynamic pricing of their products and services. In this pricing model, which is often done completely without the intervention of human operators and automatically (intelligently), electronic tools price by analyzing various factors. The purpose of this study is to investigate the status and legal effects of this pricing model in companies providing intelligent transportation services. The present article has been done by analytical-descriptive and library methods. Dynamic pricing model has advantages and disadvantages compared to traditional model; Advantages: 1- Transparency in Costs Declaration, 2- Facilitates and Accelerates the provision of Transportation Services, 3- Reduces Costs. Disadvantages: 1- Absolute authority of the company in determining and paying costs to drivers, 2- Impossibility and unpredictability of monitoring the design and performance of applications of companies that use this pricing model, 3- Lack of appropriate and specific laws and regulations for possible violations. Based on the findings of this study, the existing regulations are not sufficient to address the challenges and possible violations in relation to the dynamic pricing model, and it is necessary to review and amend the regulations and formulate appropriate solutions in this regard. Manuscript profile
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  3 - Comparison of Faster RCNN and RetinaNet for Car Recognition in Adverse Weather
  Yaser Jamshidi Raziyeh Sadat Okhovat
  Vehicle detection and tracking plays an important role in self-driving cars and smart transportation systems. Adverse weather conditions, such as the heavy snow, fog, rain, dust, create dangerous limitations by reducing camera visibility and affect the performance of de More

  Vehicle detection and tracking plays an important role in self-driving cars and smart transportation systems. Adverse weather conditions, such as the heavy snow, fog, rain, dust, create dangerous limitations by reducing camera visibility and affect the performance of detection algorithms used in traffic management systems and autonomous cars. In this article, Faster RCNN deep object recognition network with ResNet50 core and RetinaNet network is used and the accuracy of these two networks for vehicle recognition in adverse weather is investigated. The used dataset is the DAWN file, which contains real-world images collected with different types of adverse weather conditions. The obtained results show that the presented method has increased the detection accuracy from 0.2% to 75% in the best case, and the highest increase in accuracy is related to rainy conditions. Manuscript profile