Hadi Azizi; Mohsen Amouzadeh Omrani
Abstract
Some of the important benefits of cold asphalt include conservation of natural resources, cost and energy reduction. Meanwhile, warm asphalt mixtures have higher durability and resistance than cold mixtures, but the use of hot asphalt mixtures causes environmental pollution, the release of toxic and ...
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Some of the important benefits of cold asphalt include conservation of natural resources, cost and energy reduction. Meanwhile, warm asphalt mixtures have higher durability and resistance than cold mixtures, but the use of hot asphalt mixtures causes environmental pollution, the release of toxic and harmful gases, and also reduces the safety of workers. Therefore, today, the use of cold asphalt mixtures is increasing in order to protect the environment and also work risks, which is used with this type of asphalt along with emulsion bitumen. However, the use of cold asphalt produced in factories with emulsion bitumen leads to problems such as rutting, thermal cracks, reduction in strength, etc. Therefore, the need to use additives in order to improve the functional characteristics of this type of asphalt is felt. Considering the importance of the subject, in this research, a review of the studies conducted in the field of the effect of different additives on the functional characteristics of recycled cold asphalt produced with emulsion bitumen has been done. Finally, according to the results of the studies, it can be said that asphalt mixtures produced with emulsion bitumen have very low resistance to environmental factors and humidity, and therefore the use of additives is recommended. The results showed that the use of different additives improves the resistance of the asphalt mixture against moisture, which is more evident in the samples modified by combining polymer with cement and polymer with lime than other additives. shows. Also, due to creating a three-dimensional network in the bitumen and actually reinforcing the bitumen, polymer materials can increase the asphalt resistance and Marshall endurance.
mohsen amouzadeh omrani; pouyan nazarian
Volume 2, Issue 9 , December 2021, , Pages 57-73
Abstract
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 ...
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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.
