Browse Topic: Transportation Systems
In the next years, the global hydrogen vehicle market is expected to grow at a very high rate. Consequently, it is necessary for scholars and professionals to study and test specific components in order to rise motor efficiency leveraging the new features of connectivity available in smart roads. In particular, our research is focused on the developement of an engine control module driven by evaluation of usage characteristics (e.g., driving style) and "connected-to-x" scenarios using the standard engine control approach. Moreover, the module proposed enables the implementation of "fast running" models to improve the response of vehicles and make the best possible use of H2-powered engine characteristics. That said, in this paper is proposed a new approach to implement the control module, using Support Vector Machine (SVM) as the machine learning algorithm to detect driving style, and consequently modify the parameters of the engine. We choose SVM because i) it is less prone to
Single motorcycle accidents are common in Nagano Prefecture where is mountainous areas in Japan. In a previous study, analysis of traffic accident statistics data suggested that the fatality and serious injury rates for uphill right curves and downhill left curves are high, however the true causes of these accidents remain unclear. In this study, a motorcycle simulator was used to evaluate the driving characteristics due to these road alignments. Evaluation courses based on combinations of uphill/downhill slopes and left/right curves were created, and experiments were conducted. The subjects of the study were expert riders and novice riders. The results showed that right curves are even more difficult to see near the entrance of the curve when accompanied by an uphill slope, making it easier to delay recognition and judgment of the curve. Expert riders recognized curves faster than novice riders. Additionally, expert riders take a large lean of the vehicle body, actively attempted to
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Dynamic monitoring of queue lengths of vehicles waiting for toll booths on highways is critical for maximizing traffic flow and increasing traffic performance. On the other hand, traditional methods mainly utilize fixed sensors that have various issues including high cost and low flexibility. To address this problem, this paper introduces a novel model based on the YOLOv5 object detection algorithm and Kalman filter tracking algorithm to achieve real-time monitoring of vehicle queue length. First of all, the novel model utilizes YOLOv5 to accurately detect vehicles and get each vehicle’s bounding box information. Then Kalman filter algorithm is used to predict and track the motion state of the vehicle, and the position and speed of each vehicle are estimated accurately. The model calculates queue length in real-time by continuously monitoring the position and speed of each vehicle. To improve the complexity and accuracy of the model, a multi-target tracking framework is introduced to
This study focuses on analyzing the impact of the Francis Scott Key Bridge collapse on traffic flow and the traffic network in Baltimore City. By employing the processing of publicly available datasets, the construction of a traffic network model and a comprehensive scoring method and an improved K-means clustering algorithm based on the idea of the rotational method, the following conclusions have been drawn in this study. First, the bridge collapse significantly changed the distribution of traffic flow. According to the AADT data of 17 key traffic nodes, after the bridge collapse, the AADT of all nodes generally increased except for the nodes closest to the tunnel and bridge. For example, traffic nodes around the city center (e.g., nodes with OSMID numbers 37831627 and 602433660) experienced an increase in AADT, suggesting that traffic flows we Second, the 17 key nodes selected represent the major nodes of the Baltimore City traffic system and provide accurate data to support
With the continuous promotion and pilot application of the “a country with strong transportation network” project, BIM technology has been more and more widely used in expressway projects. With BIM technology as the core, based on the unified data standard, combined with the business management needs of the expressway in the early stage, construction period and operation period, build an integrated platform to explore the application of BIM technology in the whole life cycle of the expressway. Take Majing Expressway in Shaanxi Province as an example, carry out application at all stages, integrate the management information of the whole process, carry out data flow at all stages, and realize the digitalization of the whole life cycle.
To evaluate the performance evolution patterns of road structures under natural environmental conditions and loading, data were collected from the RIOHTrack system. Pavement deflection, smoothness, and skid resistance were selected as evaluation indicators. The performance evolution characteristics over 50 million load cycles were analyzed to investigate the impact of different structural configurations on service performance. The study results are summarized as follows: The deflection basin area exhibits significant annual cyclic fluctuations, indicating that ambient temperature significantly affects pavement deflection. The initial rapid decrease in texture depth was attributed to the compaction of the surface layer under traffic loading, leading to a reduction in texture depth. Differences in tire and subgrade stiffness can cause variations in texture depth across various scenarios. Circular pavement structures' smoothness can be categorized into three classes; however, even within
In the commercial and off-highway sectors, equipment reliability isn't just a maintenance target but a business imperative. Whether it's a long-haul truck on the interstate or a dozer working through dust and rock, these machines operate in some of the most demanding environments on Earth. And while engine design and fuel choice often dominate conversations about performance, the role of grease is just as critical, particularly as equipment is pushed harder and longer under more variable conditions. Over the last decade, heavy-duty grease development has undergone a quiet evolution. Performance expectations have risen sharply. So have the environmental and regulatory considerations that influence formulation decisions.
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