Global Conference on Transportation and Traffic Engineering

This study investigates the substitution of conventional aggregate with a Florida washed shell in open-graded asphalt mixtures and evaluates the optimal substitution percentage in aggregate gradations of various nominal maximum aggregate sizes (NMASs) (i.e., 4.75, 9.5, and 12.5 mm). Laboratory experiments were performed on open-graded asphalt mixture specimens with the coarse aggregate of sizes between 2.36 and 12.5 mm being replaced by the Florida washed shell at various percentages (0, 15, 30, 45, and 100%). Specimen properties relevant to the performance of open-graded asphalt mixtures in the field were tested, evaluated, and compared. Specifically, a Marshall stability test, Cantabro test, indirect tensile strength test, air void content test, and permeability test were conducted to evaluate the strength, resistance to raveling, cracking resistance, void content, and permeability of open-graded asphalt mixtures. The results show that there is no significant difference in the Marshall stability and indirect tensile strength when the coarse aggregates are replaced with Florida washed shell. This study also found that the optimum percentages of Florida washed shell in open-graded asphalt mixture were 15, 30, and 45% for 12.5, 9.5, and 4.75 mm NMAS gradations, respectively.

Globally, natural resource depletion induced by anthropogenic activities far exceeds their replenishment rate. Thus, sustainable development is the prime concern for modern-day planning that calls for interpreting carrying capacity. According to researchers and theorists, carrying capacity is one of the preliminary parameters for evaluating the optimum utilization of the existing resources for the maximum population in a given area that the environment can support. Sustainable development meets the need of the present generations without compromising on future generations’ needs. Thus, appraising urban carrying capacity is one of the prerequisites for achieving sustainable development. During the last two decades, sustainable development in urban areas of India has been advocated through policies like Transit Oriented Development (TOD), compact city planning, high-density development, re-densification, and redevelopment, among others. This paper examines the relationship between the carrying capacity and sustainable urban transportation in the upcoming TOD zones along the East-West Metro corridor (study area). The analytical framework deploys multicriteria decision-making (MCDM) implemented through a geographic information system (GIS). While the ongoing TOD planning is guided by the principles of high-density mixed-use development through Land Value Capturing (LVC), it must be regulated by the carrying capacity indicators.

Supply chains are essential for businesses to stay afloat and to create operational efficiency. Without them, it becomes difficult to maintain customer value and to serve with a competitive advantage. Supply chain disruptions are always expected to occur due to the demand for certain products either decreasing or increasing. In recent years, we have experienced a mass supply chain disruption that has affected businesses worldwide. The Covid-19 pandemic took the economy by storm and has changed the way business owners view the marketplace. Market uncertainty was at an all-time high, leading business owner to re-assess their operations. Both consumer and supplier behavior were changing the way these markets were fluctuating. The intensity of consumer purchasing behaviors was beginning to shift the demand curve. Localization of supply became a more seemingly popular way to counteract product shortages. The creation of new technologies will also help industries to be more prepared and manufacture products more efficiently. Furthermore, supply chains can be unpredictable and there are many ways in which the marketplace can be ready for those moments of uncertainty. The past few years have really opened a new lens and gave businesses a new point of view on what can be expected. As for now, preparing for the future is a great place to start and will help us continue a path to a successful economy. Thus, the goal of this research is to identify and explore different businesses tactics and procedures to help explore the effects of the supply chain disruptions on the public.

Nearly one-third of all energy used worldwide is consumed by the transportation sector, with inland travel alone accounting for half of all petroleum usage. Focusing on realistic targets is crucial given the growth of motorization in countries that have recently entered the industrial age. A form of transportation that ensures the movement of people and goods while fostering the social and economic growth of both present and future generations and reducing negative environmental consequences is referred to as sustainable transportation. The transportation industry may be able to help address current issues if it receives global support to transform and reduce its harmful externalities, such as traffic accidents that put human life and health in danger, air and noise pollution, lost time spent in vehicles, and greenhouse gas emissions that cause climate change. However, recent advancements in transportation technology and infrastructure frequently pose significant hazards to sustainability. As a result, the advantages of more mobility must be balanced against the drawbacks in the social, environmental, and financial spheres. To demonstrate the efficacy of the presented methodology, an empirical application evaluating road transport sustainability taking into account safety concerns in selected EU countries is carried out by slack-based DEA technique, which is able to consider undesirable outputs that need to be included in transportation sustainability measurement. As per analysis results, France, Croatia, Lithuania, Romania, and Finland are found to be efficient.

This research paper presents an analytical modeling study investigating the interaction between shock waves and laminar boundary layers on the NACA 64A204 airfoil. The primary objective is to validate a previously established asymptotical analytic model for supersonic viscous laminar steady flow around a thin airfoil, employing an improved analytical/statistical model based on numerical simulation approaches. The numerical simulations were conducted using Ansys Fluent 2022 R2, yielding precise numerical results of the local Mach number distribution along the airfoil's extrados. Through a comprehensive comparison between the analytical and numerical results, an enhanced analytical model was developed, resulting in the validation of the model with an average relative error of approximately 12% inside the boundary layer and 2.3% outside the boundary layer within an 80% chord-length range. This research significantly contributes to the understanding of shock wave-laminar boundary layer interaction on critical supersonic airfoils, thereby advancing the field of high-speed vehicle development. The findings offer valuable insights into the intricate aerodynamic phenomena associated with such interactions, facilitating improved design and analysis of supersonic airfoil systems. Moreover, this research makes notable contributions to the domain of transportation engineering by advancing fundamental knowledge and refining analytical models, ultimately leading to the development of more precise predictive tools for aerodynamic analysis and design optimization. These advancements have the potential to promote the efficient and sustainable progress of high-speed aircrafts, fostering innovation within the transportation field.

Riyadh is one of many cities where high speeds exist within residential neighborhoods. On local streets where these incidents occur, the Riyadh Municipality is already using speed humps to reduce the 85th speed limit. The purpose of the research is to look into the effect of speed humps on the 85th speed on local streets, and whether implementing such speed humps will result in a lower 85th speed to reach the posted speed on local streets. A representative local street in Riyadh was chosen, with two successive speed humps at its entrance. The impact of these Humps on the 85th speed level on this street, as well as whether the operating conditions were hazardous, were investigated. The speeds in both directions were measured and compared, as were the speeds on the affected and unaffected sides.

One of the most serious issues in developing countries is road maintenance. Every year thousands of people lose lives due to the failure in road maintenance. Road damage causes severe issues for drivers such as trip efficiency, car value, and even driving safety. In some circumstances, road degradation causes accidents that result in death. Currently, road damage detection research is expanding and presenting new ways such as the use of an accelerometer sensor. However, because of the inability to function in real-time and bad implementation, the implementations suffer from a lack of precision. Well-maintained roadways contribute significantly to the country's economy. Identification of road distress, such as potholes and bumps, assists drivers in avoiding accidents and vehicle damage, as well as assisting authorities in road maintenance. A cost-effective technique with an appropriate level of accuracy and the least amount of labour is always ideal for road distress assessment study. Smartphones give all of these via various types of sensors. The purpose of this study is to investigate the usage of smartphone apps to assess the discomfort of the road body, which directly reflects the road condition. The study investigates the source of vehicle trouble on the road. The research and observations obtained by the suggested approach for road condition evaluation were compared with a set of road infrastructure data collected by smartphone application employing sensors such as gyroscope, accelerometer, GPS, and so on.

Smart City is intended to use new technologies and advanced algorithms to enhance life services and optimize resources in use. A road network in a Smart City should be available and safe at almost times. Modern sensors, Artificial Intelligence, and Machine Learning algorithms were developed to analyze data and extract meaningful information to evaluate pavement surface conditions. However, some methods cannot detect all existing damages, and others are considered very costly due to the material and effort deployed. This paper proposes a low-cost solution using a commercial digital camera and the open-source software Meshroom based on the Structure from Motion (SFM) technique. The proposed method consists of taking images of the pavement from different angles. Then, those images are transferred to a 3D model via the last stable version of Meshroom. Pavement 3D modeling obtained provides more details about road surface health, including depth information. Two case studies tested and validated the proposed approach, providing a promoted solution.

Transportation is one of the most energy-consuming sectors all over the world. Delivering goods and services to clients requires the use of transportation, which has also a variety of menaces, including climate change, environmental harm, health hazards, deteriorating air quality, and rising greenhouse gas emissions. One of the greatest and most serious environmental issues is climate change, which is exacerbated by greenhouse gas emissions and air pollution. The transportation industry, which generates greenhouse gases, is one of the primary causes of these issues. Implementing sustainable transportation is a practical solution to these issues since it lowers air pollution. Due to the availability of several aspects, the sustainability of the transportation system may be evaluated using Multi-Criteria Decision-Making (MCDM) process, which can deal with benefit and cost criteria simultaneously. The main goal of this study is to evaluate and examine the transport sustainability of selected OECD countries, in which the average annual growth in transportation energy use is predicted to be 1.4% until 2040, by an integrated MCDM framework, which consists of entropy integrated Proximity Indexed Value (PIV) method. Our analysis results indicate that Germany and the United Kingdom are found to be the best-performing countries in terms of transport sustainability among the OECD countries. As a result, this analysis may be useful for stakeholders in the transportation sector.