Journal articles: 'Space traffic'

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YAKOVLEV, Mikhail V. "From “space traffic regulations” to space traffic management." Aerospace Sphere Journal, no. 2 (June 20, 2019): 60–71. http://dx.doi.org/10.30981/2587-7992-2019-99-2-60-71.

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Knowles, Stephen H. "Space Object Traffic Control." International Astronomical Union Colloquium 112 (1991): 165. http://dx.doi.org/10.1017/s0252921100003912.

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ABSTRACTThe task of avoiding collisions between orbiting objects requires more than a statistical description of the objects’ positions. The paper describes the general procedures used for such cataloging, together with an indication of the accuracy required for orbital collision avoidance.

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Muelhaupt, Theodore J., Marlon E. Sorge, Jamie Morin, and Robert S. Wilson. "Space traffic management in the new space era." Journal of Space Safety Engineering 6, no. 2 (June 2019): 80–87. http://dx.doi.org/10.1016/j.jsse.2019.05.007.

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Milan, Mijovic. "Legal aspects of space traffic." Pravni zapisi 3, no. 2 (2012): 429–42. http://dx.doi.org/10.5937/pravzap3-3028.

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Cukurtepe, Haydar, and Ilker Akgun. "Towards space traffic management system." Acta Astronautica 65, no. 5-6 (September 2009): 870–78. http://dx.doi.org/10.1016/j.actaastro.2009.03.063.

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Schröder, Klaus. "ROOT SPACE UNDERNEATH TRAFFIC LANES." Arboricultural Journal 31, no. 1 (April 2008): 33–43. http://dx.doi.org/10.1080/03071375.2008.9747516.

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Zhang, Hong. "Integrating Urban Building Space and Transportation Space to Solve Traffic Congestion." World Construction 3, no. 1 (June 24, 2014): 7. http://dx.doi.org/10.18686/wc.v3i1.32.

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<p>Today, with urban function system increasingly complicated, there exist problems which are seriously hindering urban sustainable development in most cities such as traffic jams, constructive destruction, building space separation with traffic space, poor urban space resource utilization and so on. So the article makes a number of integration methods of urban building space and transportation space from the perspective of urban morphology integration. It tries to integrate urban environment with techniques of multidimensional space interludes, cascading, infiltration between building space and traffic space in three-dimensional space coordinates, to achieve the objectives of proper division, solving traffic congestion problems and the establishment of a new dynamic three-dimensional transport system.</p>

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Zhang, Hong. "Integrating Urban Building Space and Transportation Space to Solve Traffic Congestion." World Construction 3 (June 24, 2014): 7. http://dx.doi.org/10.18686/wcj.v3i1.3.

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<p>Today, with urban function system increasingly complicated, there exist problems which are seriously hindering urban sustainable development in most cities such as traffic jams, constructive destruction, building space separation with traffic space, poor urban space resource utilization and so on. So the article makes a number of integration methods of urban building space and transportation space from the perspective of urban morphology integration. It tries to integrate urban environment with techniques of multidimensional space interludes, cascading, infiltration between building space and traffic space in three-dimensional space coordinates, to achieve the objectives of proper division, solving traffic congestion problems and the establishment of a new dynamic three-dimensional transport system.</p>

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Kurek, Agata, and Elżbieta Macioszek. "Impact of Parking Maneuvers on the Capacity of the Inlets of Intersections with Traffic Lights for Road Traffic Conditions in Poland." Sustainability 14, no. 1 (December 31, 2021): 432. http://dx.doi.org/10.3390/su14010432.

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The goal of smart cities and sustainable transport is to ensure the efficient movement of people while minimizing a negative impact on the environment. Many cities around the world conduct a policy aimed at limiting parking spaces; however, the complete elimination of parking spaces in cities currently does not seem possible. Parking vehicles cause disturbances in road traffic by searching for a parking space and performing the parking maneuver. This article analyzes the impact of the parking maneuver on the capacity of the inlets of intersections with traffic lights, and the significance of the time it takes to enter and exit a parking space on road traffic disturbance areas under Polish conditions. The research is carried out in on-street parking, characterized by different positions of the parking space to the road, the different surfaces of parking spaces, and the geometry of the road next to which the parking spaces are located. Differences in the time of entry to and exit from the parking space between the research areas indicate that different characteristics of the parking spaces affect the time of the parking maneuver. Drivers wait for the acceptable distance between vehicles on the road into which the vehicle can exit from the parking space. Drivers exiting from perpendicular parking spaces more often cause traffic disruptions than in the case of parallel parking spaces, due to limited visibility. The occupancy of parking spaces directly next to the analyzed ones also affects the time of entry to and exit from the parking space. However, between the time of entry to or exit from the parking space, and the use of the parking space, there is no relationship. This finding indicates that more factors determine the time of entry to and exit from the parking space. The results presented in the article show the need to conduct further research on the impact of parking maneuvers on the capacity of intersections with traffic lights for road traffic conditions in Poland. The results of the research will allow for the design and construction of an optimal parking infrastructure that will meet the needs of road users, while minimizing the negative impact on road conditions and the natural environment following sustainable development.

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Kim, Syeun, and Yungjin Jung. "U.S. Commercial Space Traffic Management Policy, Yesterday and Today." Journal of Space Technology and Applications 1, no. 1 (May 2021): 121–30. http://dx.doi.org/10.52912/jsta.2021.1.1.121.

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Kaltenhäuser, Sven, Frank Morlang, Tanja Luchkova, Jens Hampe, and Martin Sippel. "Facilitating Sustainable Commercial Space Transportation Through an Efficient Integration into Air Traffic Management." New Space 5, no. 4 (December 2017): 244–56. http://dx.doi.org/10.1089/space.2017.0010.

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Slann, Phillip A. "Space debris and the need for space traffic control." Space Policy 30, no. 1 (February 2014): 40–42. http://dx.doi.org/10.1016/j.spacepol.2013.10.007.

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Zhu, Yitong, Wenzhen Huang, and Linhui Hu. "Research on a Commercial Building Space Traffic Flow Design Based on Post-Occupancy Evaluation." Buildings 12, no. 6 (June 15, 2022): 838. http://dx.doi.org/10.3390/buildings12060838.

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The aim of traffic flow design in commercial building space planning is to create a comfortable, easily accessible, and identifiable spatial structure in a complex and changeable business environment. However, modern commercial building spaces often appear to be inconsistent with the usage requirements after they are put into use. To understand the real experience evaluation of users, this study selects the commercial project “Guangzhou Nanpu Times Commercial Building Space” as its subject. Based on post-occupancy evaluation (POE), this study uses the analytic hierarchy process (AHP) to construct an evaluation index system of commercial building space traffic flow. The weights and satisfaction scores of the indexes are calculated through expert interviews and questionnaires to analyze the evaluation and reasons for the commercial building space traffic flow design after using the facilities. We thereby obtain the design points of commercial building space traffic flow to provide a scientific, reasonable, and practical basis for the subsequent design of the same type of traffic flow to drive the prosperity and development of commerce.

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Ćelić, Jasmin, Bia Mandžuka, Vinko Tomas, and Frane Tadić. "Driver-Centric Urban Route Planning: Smart Search for Parking." Sustainability 16, no. 2 (January 19, 2024): 856. http://dx.doi.org/10.3390/su16020856.

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With urbanization, there is a growing need for mobility. Challenges for urban drivers include finding available parking spaces. Searching for a parking spot can be a frustrating experience, often time consuming and costly. Also, the increasing number of vehicles on the roads leads to an additional strain on traffic flow, while the search for parking spaces lowers the level of service. In inner cities, vehicles circulate in search of an available parking space, leading to an increase in travel time, fuel consumption, pollutant emissions, and a decrease in traffic safety. The search for a free parking space generates a significant increase in traffic in urban areas. To solve the parking search problem, it is necessary to develop certain strategies and measures that minimize circling in search of a parking space. The implementation of intelligent transportation systems stands out. By applying intelligent transport systems, drivers are provided with information about free parking spaces, which reduces the circulation of vehicles in search of free parking. Although initially ITS systems mainly provided services for closed parking lots and garages, with the further development of the system, the service was extended to street parking lots or open-type parking lots. These measures not only solve traffic challenges but also promote sustainability in urban areas. This article analyzes the effect of a cooperative approach of guiding vehicles to available parking spaces compared to a standard model of searching for an available parking space. Within the framework of the advanced model for searching for available space, four parking demand scenarios were defined and simulated. Based on the created traffic simulation, a comparative analysis was made between the classic and cooperative approach, while the primary differences are manifested in the load of the traffic flow A simulation model was developed using the road network from the urban center of Zagreb.

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Zhao, Yi, Zhen Zhou, Qilong Pan, and Tianhua Zhou. "G/M/N Queuing Model-Based Research on the Parking Spaces for Primary and Secondary School." Discrete Dynamics in Nature and Society 2020 (December 12, 2020): 1–7. http://dx.doi.org/10.1155/2020/8870862.

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In order to ease the traffic congestion near primary and secondary schools during the drop-off and pick-up, traffic behavior was analyzed, and a quantitative allocation method for parking spaces was proposed. The proposed method includes three steps. Firstly, a vehicle queuing model based on G/M/N queue theory was built, and MATLAB was employed to simulate the queuing model to obtain a reasonable parking space for drop-off. Secondly, the reasonable parking space for pick-up is determined based on the cumulative number of vehicles. Finally, an optimization model for the scale of total parking spaces and the short-term parking spaces was proposed to achieve maximum utilization of parking spaces. An empirical analysis and verification were conducted based on actual traffic data of schools. The results show that the proposed model can analyze the overall scale of the parking space for primary and secondary school, as well as the scale of the short-term parking spaces. And the proposed scale of the parking space can well meet the actual parking demand.

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Havlikova, Katerina. "Legal Aspects Concerning Space Traffic Management." Air and Space Law 46, Issue 2 (April 1, 2021): 235–56. http://dx.doi.org/10.54648/aila2021012.

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Recent developments in the aerospace sector combined with the increased involvement of commercial entities in space activities have shown that there is need to adopt some ‘rules of the road’ in outer space. The aim of the paper is to elaborate on the possible paths leading towards the regulation of Space Traffic Management (STM) and elements of STM that should be addressed as part of a new regulatory regime governing space traffic. Special attention will be given to a new possible mandate of the International Civil Aviation Organization, which appears to be well capacitated to carry out the tasks related to space safety, including STM, particularly with respect to regulation, oversight and implementation of STM. Space Traffic Management, SSA, space debris mitigation, outer space

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Polkowska, Małgorzata. "Space Traffic Management (STM) – Legal Aspects." Polish Political Science Yearbook 50, no. 1 (2021): 1–11. http://dx.doi.org/10.15804/ppsy202103.

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Space Traffic Management (STM) is a new concept referring to space activities. The highest priority is the safety and security of outer space and all conducted operations. There is no definition of STM. There is an urgent need to regulate STM providing safety and security regulations at the international, regional, and national levels. Because there is no STM definition, the regulator might use the example of existing regulations of the International Civil Aviation Organization on Air Traffic Management (ATM). European EUSST is a good example of being a “precursor” of STM. However, many questions are still open regarding specific regulations needed to create an STM system, such as at which level they should be made: globally, regionally, or nationally.

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Yulin, Zhang, and Wang Zhaokui. "Space Traffic Safety Management and Control." IEEE Transactions on Intelligent Transportation Systems 17, no. 4 (April 2016): 1189–92. http://dx.doi.org/10.1109/tits.2015.2494686.

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Johnson, Nicholas L. "Space traffic management: concepts and practices." Space Policy 20, no. 2 (May 2004): 79–85. http://dx.doi.org/10.1016/j.spacepol.2004.02.002.

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Lála, Petr. "Traffic Management Rules for Space Operations." Astropolitics 2, no. 2 (July 2004): 121–32. http://dx.doi.org/10.1080/14777620490489534.

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Filho, José Monserrat. "Which institutions for space traffic management?" Space Policy 18, no. 3 (August 2002): 179–82. http://dx.doi.org/10.1016/s0265-9646(02)00017-6.

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Kamarianakis, Yiannis, and Poulicos Prastacos. "Space–time modeling of traffic flow." Computers & Geosciences 31, no. 2 (March 2005): 119–33. http://dx.doi.org/10.1016/j.cageo.2004.05.012.

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Stilwell, Ruth E., Diane Howard, and Sven Kaltenhauser. "Overcoming Sovereignty for Space Traffic Management." Journal of Space Safety Engineering 7, no. 2 (June 2020): 158–61. http://dx.doi.org/10.1016/j.jsse.2020.04.002.

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Johnson, Nicholas L. "Space traffic management concepts and practices." Acta Astronautica 55, no. 3-9 (August 2004): 803–9. http://dx.doi.org/10.1016/j.actaastro.2004.05.055.

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Ailor, William H. "Space traffic management: Implementations and implications." Acta Astronautica 58, no. 5 (March 2006): 279–86. http://dx.doi.org/10.1016/j.actaastro.2005.12.002.

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Mallinath, Kumbar, B. Tejashwini, and B. L. Kavitha. "Scientometric Analysis of Space Traffic Literature." Journal of Library Development 2, no. 1 (January 1, 2016): 38. http://dx.doi.org/10.32344/jld/v2/i1/2016/38-49.

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Kaiser, Stefan A. "Space Traffic Management: Not Just Air Traffic Management for Outer Space and More Than Data Analytics." International Institute of Space Law 62, no. 4 (April 2019): 301–15. http://dx.doi.org/10.5553/iisl/2019062004001.

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Kim, Hyun-Koo, Ju H. Park, and Ho-Youl Jung. "An Efficient Color Space for Deep-Learning Based Traffic Light Recognition." Journal of Advanced Transportation 2018 (December 6, 2018): 1–12. http://dx.doi.org/10.1155/2018/2365414.

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Traffic light recognition is an essential task for an advanced driving assistance system (ADAS) as well as for autonomous vehicles. Recently, deep-learning has become increasingly popular in vision-based object recognition owing to its high performance of classification. In this study, we investigate how to design a deep-learning based high-performance traffic light detection system. Two main components of the recognition system are investigated: the color space of the input video and the network model of deep learning. We apply six color spaces (RGB, normalized RGB, Ruta’s RYG, YCbCr, HSV, and CIE Lab) and three types of network models (based on the Faster R-CNN and R-FCN models). All combinations of color spaces and network models are implemented and tested on a traffic light dataset with 1280×720 resolution. Our simulations show that the best performance is achieved with the combination of RGB color space and Faster R-CNN model. These results can provide a comprehensive guideline for designing a traffic light detection system.

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Hilton, Samuel, Roberto Sabatini, Alessandro Gardi, Hideaki Ogawa, and Paolo Teofilatto. "Space traffic management: towards safe and unsegregated space transport operations." Progress in Aerospace Sciences 105 (February 2019): 98–125. http://dx.doi.org/10.1016/j.paerosci.2018.10.006.

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Barbano, Mario. "Space Traffic Management and Space Situational Awareness: The EU Perspective." Air and Space Law 47, Issue 4/5 (August 1, 2022): 451–66. http://dx.doi.org/10.54648/aila2022023.

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The article aims to provide a brief analysis of the EU approach on Space Traffic Management (STM), with a focus on the European Commission and the High Representative for Foreign Affairs and Security Policy (EC-HR) Joint Communication of 15 February 2022. After some references to the relevant international and EU legal framework, the Joint Communication will be examined, taking into account the definition of STM as well as the main policy actions and regulatory measures (a blend of binding and non-binding ones). This approach will be compared with other possible levels of intervention, such as international governance (a possible International Civil Aviation Organization - ICAO model), national law (as envisaged by the US in Space Policy Directive No. 3 of 2018) or self-regulation. The EU regulatory approach to STM seems to replicate the modus operandi adopted in other policy areas (such as climate change and digitalization). Issues concerning the legal basis of future EU secondary legislation on STM, however, cannot be overlooked. The emphasis on EU strategic autonomy and security issues linked to STM shows an increasing awareness in EU institutions of the Union’s geopolitical role. Space Traffic Management, Space Situational Awareness, European Union, Joint Communication of 15 Feb. 2022, regulatory approach, legal basis

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Wang, Chen, Kai Du, Yin Li Jin, and Ling Yun He. "Han Ning Highway Traffic Accident Spatio-Temporal Analysis." Applied Mechanics and Materials 135-136 (October 2011): 560–64. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.560.

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Collecting the traffic accidents data of Han Ning highway in 2008, 2009 and 2010 three years, through two aspects of time and space to do statistical analysis and data mining of the traffic accidents of this highway. The result of the analysis is that accident rates have a certain relevance to time and space. From the time perspective, holidays and vacation days are accident high-risk days. From the space perspective, accident rate in the ascent and in the downhill are higher than on the straight road, cars go straight have a higher accident rate than in the corners, traffic accident rate in single-km single-lane tunnel is higher than outside the tunnel. Through the time and space distribution rule of the traffic accident, educating traffic participants follow the time and space distribution rule to restrict their behavior. Educating traffic managers obey the time and space distribution rule of traffic accident to adopt targeted management measures and engineering measures. Both of these two aspects have very important significance in reducing traffic accidents.

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Yang, Chun Xia, Yu Liang, and Hui Zhi Geng. "The Analysis of the Slow-Traffic and Lingering Space System of the Bridges and both Banks - Taking the Estuary Area of Suzhou Creek in Shanghai as an Example." Applied Mechanics and Materials 878 (February 2018): 159–65. http://dx.doi.org/10.4028/www.scientific.net/amm.878.159.

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It is necessary to construct the slow-traffic and lingering space system of the bridges and both banks in the motorized era. It’s the main part of the city planning for non-motorized travel. Also, it’s important for the development of the cross-river slow-traffic system and the comprehensive development of bridges and both banks. We investigate and analyze the traffic volume, lingering activities and cross-river walking path in the estuary area of Suzhou Creek. And we found three things. Firstly, the cross-river slow-traffic and lingering space is not smooth and attractive. Secondly, the riverside slow-traffic and lingering space is not continuous and extensive. Thirdly, the bridge slow-traffic and lingering space is not safe and comfortable. Based on these, some optimizing strategies are proposed. For example, it is recommended to construct the continuous cross-river slow-traffic network, to establish the both-bank lingering space system around the center of river, and to build bridges with slow-traffic and lingering functions.

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Zhao, Yun, and Tanja Masson-Zwaan. "Towards an International Regime for Space Traffic Management." Air and Space Law 48, Special Issue (March 1, 2023): 75–92. http://dx.doi.org/10.54648/aila2023032.

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With the rapid development of space technologies, space activities will continue to thrive in the process of space commercialization and privatization. However, it is obvious that existing space law rules are inadequate to meet the needs of the latest developments. Space traffic management, in particular, is an area of increased public interest. Measures on Space Traffic Management (STM) cannot be effective if approached in a disparate manner through national or regional silos. It is necessary to look into a possible legal framework for regulating space traffic and improving global space situational awareness to further aerospace development and ensure that space technologies can serve and enhance human well-being at a wider, deeper, and higher level. Space Traffic Management, STM, Space Debris, Space Sustainability, Space Situational Awareness, Soft Law

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Frosch, Colin, David Martinelli, and Avinash Unnikrishnan. "Evaluation of Shared Space to Reduce Traffic Congestion." Journal of Advanced Transportation 2019 (June 13, 2019): 1–10. http://dx.doi.org/10.1155/2019/6510396.

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Pedestrian and vehicle interactions often lead to conflicts that bring about safety, traffic congestion, and priority or right of way issues. Common methods used in the past to combat said issues have largely relied on the principle of separating the motions of pedestrians and vehicles by means of bridges, tunnels, signals, and access restrictions. A different approach known as shared space aims to solve the same problems with a less structured and defined environment which instead places more reliance on human interaction and perception. Although it has been used in multiple scenarios across Europe with success, instances of shared spaces in the United States are few. In the past, the success of shared space has mainly focused on safety, aesthetic, and pedestrian use metrics, with little quantitative knowledge regarding the traffic congestion relief benefits. This research focuses on evaluating and quantifying the traffic congestion relief abilities of shared space designs utilizing Vissim traffic microsimulation software and the economic impact these changes can make. A major pedestrian crossing location on West Virginia University’s Downtown campus along a major urban arterial was chosen as the case location upon which the model was to be built. This location posed unique aspects, which made it a prime choice for this research as the major concern for years has been traffic congestion, in addition to pedestrian safety and aesthetic appeal. The results of the analysis show that shared space can reduce vehicle travel time by up to 50% and delays by 66%.

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Kim, Kilhwan. "Finite-Buffer M/G/1 Queues with Time and Space Priorities." Mathematical Problems in Engineering 2022 (May 20, 2022): 1–30. http://dx.doi.org/10.1155/2022/4539940.

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Many communication systems have finite buffers and service delay-sensitive and loss-sensitive types of traffic simultaneously. To meet the diverse QoS requirements of these heterogeneous types of traffic, it is desirable to offer delay-sensitive traffic time priority over loss-sensitive traffic, and loss-sensitive traffic space priority over delay-sensitive traffic. To analyze the performance of such systems, we study a finite-buffer M/G/1 priority queueing model where nonpreemptive time priority is given to delay-sensitive traffic and push-out space priority is given to loss-sensitive traffic. Compared to the previous study on finite-buffer M/M/1 priority queues with time and space priority, where service times are identical and exponentially distributed for both types of traffic, in our model we assume that service times are different and are generally distributed for different types of traffic. As a result, our model is more suitable for the performance analysis of communication systems accommodating multiple types of traffic with different service-time distributions. For the proposed queueing model, we derive the queue-length distributions, loss probabilities, and mean waiting times of both types of traffic, as well as the push-out probability of delay-sensitive traffic. With numerical examples, we also explore how the performance measures are affected by system parameters such as the buffer size, and the arrival rates and mean service times of both types of traffic for different service-time distributions.

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Meltem Civas and Ozgur B. Akan. "Terahertz wireless communications in space." ITU Journal on Future and Evolving Technologies 2, no. 7 (October 5, 2021): 31–38. http://dx.doi.org/10.52953/ecrl1540.

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The New Space Era has increased communication traffic in space by new space missions led by public space agencies and private companies. Mars colonization is also targeted by crewed missions in the near future. Due to increasing space traffic near Earth and Mars, the bandwidth is getting congested. Moreover, the downlink performance of the current missions is not satisfactory in terms of delay and data rate. Therefore, to meet the increasing demand in space links, Terahertz band (0.1-10 THz) wireless communications are proposed in this study. In line with this, we discuss the major challenges that the realization of THz band space links pose and possible solutions. Moreover, we simulate Mars-space THz links for the case of a clear Mars atmosphere, and a heavy dust storm to show that even in the worst conditions, a large bandwidth is available for Mars communication traffic.

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Hilmani, Adil, Abderrahim Maizate, and Larbi Hassouni. "Automated Real-Time Intelligent Traffic Control System for Smart Cities Using Wireless Sensor Networks." Wireless Communications and Mobile Computing 2020 (September 11, 2020): 1–28. http://dx.doi.org/10.1155/2020/8841893.

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Over the years, the number of vehicles has increased dramatically, which has led to serious problems such as traffic jams, accidents, and many other problems, as cities turn into smart cities. In recent years, traffic jams have become one of the main challenges for engineers and designers to create an intelligent traffic management system capable of effectively detecting and reducing the overall density of traffic in most urban areas visited by motorists such as offices, downtown, and establishments based on several modern technologies, including wireless sensor networks (WSNs), surveillance camera, and IoT. In this article, we propose an intelligent traffic control system based on the design of a wireless sensor network (WSN) in order to collect data on road traffic and also on available parking spaces in a smart city. In addition, the proposed system has innovative services that allow drivers to view the traffic rate and the number of available parking spaces to their destination remotely using an Android mobile application to avoid traffic jams and to take another alternative route to avoid getting stuck and also to make it easier for drivers when looking for a free parking space to avoid unnecessary trips. Our system integrates three smart subsystems connected to each other (crossroad management, parking space management, and a mobile application) in order to connect citizens to a smart city.

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Abdulzyanov, A. R. "MODERNIZATION OF TRAFFIC SAFETY IN CITY SPACE." Social-Economic Phenomena and Processes 13, no. 103 (2018): 52–58. http://dx.doi.org/10.20310/1819-8813-2018-13-103-52-58.

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Hamilton-Baillie, Ben. "Shared Space: Reconciling People, Places and Traffic." Built Environment 34, no. 2 (May 29, 2008): 161–81. http://dx.doi.org/10.2148/benv.34.2.161.

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Channumsin, Sreesawet, Saroj, Saingyen, Puttasuwan, Udomthanatheera, and Jaturut. "Development of Space Traffic Management System: ZIRCON." Proceedings 39, no. 1 (January 7, 2020): 12. http://dx.doi.org/10.3390/proceedings2019039012.

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In near future, commercial companies have proposed to launch the extreme large constellation of small to medium-sized satellites over new 20,000 satellites in orbit. As a result, satellite operators will face a new challenge and have to prepare some solutions to mitigate huge potential collision risks. Under current practices, operators receive collision warning messages (Conjunction Data Messages: CDMs) generated by the Combined Space Operations Center (CSpOC). It is possibly to receive huge conjunctions that exceed warning threshold control each day but many of them are false conjunctions because the result of a combination of inaccuracies in the sensor measurements, predicting error and especially inadequacy of satellite information (e.g., GPS data and satellite size) To reduce the false CDMs and effectively mitigate the potential risk in time, space traffic management system can minimize the problems. The key system capabilities are able to automatically screen potential risky objects and provide an analysis tool to decide effective maneuver planning. As a result, GISTDA initiates the project to develop the space traffic management system known as “ZIRCON” to monitor and mitigate the risk of GISTDA’s satellites and future satellites (e.g., THEOS2 project). This paper presents the operational collision avoidance process and algorithm analysis of space traffic management system. The accuracy of analysis results is validated by comparing the analyzed results of CSpOC and Space Data Association (SDA) serving the commercial space sector to monitor and provide warning message for membership. The last section describes the future development planning and services for satellite operators.

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Blount, P. J. "Space Traffic Management: Standardizing On-Orbit Behavior." AJIL Unbound 113 (2019): 120–24. http://dx.doi.org/10.1017/aju.2019.17.

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As the number and intensity of space activities increase, so will the need for rules on Space Traffic Management (STM). Emerging technologies such as mega-constellations, which are satellite constellations consisting of hundreds or even thousands of satellites, may stretch the limits of the current informal coordination system. The goal of this essay is to discuss the critical elements of a system of STM that would, through standardization, establish trust in the resulting system. The standardization elements will be divided into three categories: data standards, processing standards, and legal standards. I argue that a system of STM requires standardized practices that are based on a strong technical foundation in order to enhance trust among space actors. After discussing the types of standards that are needed for STM, I turn to possible paths for achieving a globally effective STM system.

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McKnight, Darren. "A practical perspective on Space Traffic Management." Journal of Space Safety Engineering 6, no. 2 (June 2019): 101–7. http://dx.doi.org/10.1016/j.jsse.2019.03.001.

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Tortora, Jean-Jacques. "Space Traffic Management: A long way ahead." Journal of Space Safety Engineering 6, no. 2 (June 2019): 69. http://dx.doi.org/10.1016/j.jsse.2019.04.004.

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Bast, Daniel, and Holger Krag. "Emergency command path for Space Traffic Management." Journal of Space Safety Engineering 6, no. 2 (June 2019): 138–44. http://dx.doi.org/10.1016/j.jsse.2019.05.005.

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Bonnal, Christophe, Laurent Francillout, Monique Moury, Ursula Aniakou, Juan-Carlos Dolado Perez, Julien Mariez, and Sylvain Michel. "CNES technical considerations on space traffic management." Acta Astronautica 167 (February 2020): 296–301. http://dx.doi.org/10.1016/j.actaastro.2019.11.023.

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Nag, Sreeja, David D. Murakami, Nimesh A. Marker, Miles T. Lifson, and Parimal H. Kopardekar. "Prototyping operational autonomy for Space Traffic Management." Acta Astronautica 180 (March 2021): 489–506. http://dx.doi.org/10.1016/j.actaastro.2020.11.056.

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Hamidou Soumana, Abdoul Nasser, Mohamed Ben Salah, and Noureddine Moussa. "Deep learning for parking spaces prediction in the context of smart and sustainable cities: A systematic literature review." E3S Web of Conferences 469 (2023): 00065. http://dx.doi.org/10.1051/e3sconf/202346900065.

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The search for solutions to mitigate traffic congestion is a major challenge for densely populated cities. Studies have shown that more than 40% of traffic jams are caused by prolonged searching for parking spaces in crowded cities. Therefore, predicting the availability of parking spaces in advance is a crucial step in helping drivers quickly find free spaces and thus reduce traffic jams and their negative impacts on the environment, economy, and public health. Various approaches have been proposed to solve traffic congestion related problems. Deep learning, a technique in machine learning, has seen increasing use and has shown much effectiveness compared to other machine learning techniques for predicting parking space availability. In this study, we analyzed the use of deep learning techniques through a systematic literature review. The review process included formulating the research question, establishing search strategies, as well as data extraction and analysis. As a result, we identified four major families of deep learning techniques commonly used for predicting parking space availability. Additionally, we observed that recurrent neural networks and convolutional neural networks are the most widely used techniques.

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Ding, Qing Yan, Xi Fu Wang, Xiu Yuan Zhang, and Zhan Quan Sun. "Forecasting Traffic Volume with Space-Time ARIMA Model." Advanced Materials Research 156-157 (October 2010): 979–83. http://dx.doi.org/10.4028/www.scientific.net/amr.156-157.979.

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The paper proposes a space–time autoregressive integrated moving average (STARIMA) model to predict the traffic volume in urban areas. The methodological framework incorporates the historical traffic data and the spatial features of a road network. Moreover, the spatial characteristics in a way that reflects not only the distance but also the average travel speed on the links. In order to response the time-varying speed, six traffic modes are classified by level of service (LOS) which is updated in 5 minute interval. In the end, with the real traffic data in Beijing for experiments, the model achieves a very good accuracy on the 5 minute interval forecasting, it also provides a sufficient accuracy of 30 minute interval forecasting compared with ARIMA model.

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Plattard, Serge. "Security in space: Should space traffic management also concern payloads management?" Space Policy 33 (August 2015): 56–62. http://dx.doi.org/10.1016/j.spacepol.2015.02.005.

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Song, Yu-Mi, and Sung-Ah Kim. "Traffic Congestion Prediction System Using the Urban Data and Space Syntax." Journal of the architectural institute of Korea planning & design 32, no. 12 (December 30, 2016): 91–100. http://dx.doi.org/10.5659/jaik_pd.2016.32.12.91.

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Journal articles on the topic 'Space traffic'

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