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Journal articles on the topic 'Traffic shifting'

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1

Dan, Yasuaki. "Shifting Traffic Line towards Recreational Facilities:." Annual review of sociology 2015, no. 28 (2015): 124–35. http://dx.doi.org/10.5690/kantoh.2015.124.

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2

Solomon, Harris. "Shifting Gears: Triage and Traffic in Urban India." Medical Anthropology Quarterly 31, no. 3 (2017): 349–64. http://dx.doi.org/10.1111/maq.12367.

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Aubin, Jean-Pierre. "Macroscopic traffic models: Shifting from densities to “Celerities”." Applied Mathematics and Computation 217, no. 3 (2010): 963–71. http://dx.doi.org/10.1016/j.amc.2010.02.032.

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4

Wei, Xueyan, Wei Wang, Weijie Yu, Xuedong Hua, and Yun Xiang. "A Stochastic User Equilibrium Model Under Traffic Rationing Based on Mode Shifting Rate." Sustainability 12, no. 13 (2020): 5433. http://dx.doi.org/10.3390/su12135433.

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As a countermeasure to urban exhaust pollution and traffic congestion, traffic restriction based on the last digit of license plate numbers has been widely introduced throughout the world. However, the effect of traffic restriction is weakened as it causes the long-distance detour of restricted travel modes and induces travel demand to shift to unrestricted travel modes. To consider detour and shift of traffic demand caused by traffic restriction, we propose a stochastic user equilibrium model under traffic rationing based on mode shifting rate and the corresponding solution algorithm. A case
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Stupin, Artem, Lev Kazakovtsev, Alena Stupina, Oleslav Antamoshkin, and Vladislav Stasiuk. "Improving the traffic situation by shifting the turn and adjusting the traffic lights." E3S Web of Conferences 376 (2023): 04019. http://dx.doi.org/10.1051/e3sconf/202337604019.

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The article deals with the problem of the formation of a traffic jam on the one of the street Krasnoyarsk cities. According to statistics, the largest set of accidents occur when turning the vehicle. For convenience and traffic priority, traffic lights are set up and additional signals or sections of traffic lights are introduced. In Europe, additional lanes are added, designed separately for turning, where cars can continue to wait for their turn, but if there are a lot of cars, then the additional lane ceases to cope with the flow of cars and begins to load the lane. Another option, when all
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Chen, Da Shan. "Characteristic Parameters Identification of Macro Traffic Flow on Urban Expressway." Applied Mechanics and Materials 409-410 (September 2013): 1209–12. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.1209.

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The macroscopic traffic flow parameters characteristic is an important research content in traffic flow theory. Urban expressway plays an important role in the urban road network. It is gradually shifting from large-scale infrastructure-oriented to refinement of traffic management. With the growing of traffic demand and much more traffic congestion and accidents, integrated active traffic management should be involved in urban expressway management on the back ground of car-road coordination. As the backbone road network, traffic flow characteristic parameters have great value for the control
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Kono, Yutaka, and Kazuyuki Nakamura. "Prediction System of Subway Traffic Flow and Appropriate Parameters Shifting." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2017 (2017): 168–73. http://dx.doi.org/10.5687/sss.2017.168.

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Santhoshi, Ms Ravala. "Machine Learning-Driven Optimization of Driving Patterns Through for Fuel Efficiency." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 584–87. https://doi.org/10.22214/ijraset.2025.68323.

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Reducing fuel consumption and pollution requires optimising driving practices to boost fuel economy. This article explores how driving behaviours can be optimised for increased fuel efficiency using machine learning techniques. We employ supervised learning, reinforcement learning, and clustering to assess behaviours such as braking, acceleration, and route selection by examining vehicle sensor data. While real-time decision-making tools respond to shifting traffic conditions, our framework offers fleet management systems and individual drivers tailored advise on how to reduce fuel use. By ana
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Azevedo Cezila, Beatriz, Raoni Rebouças, and Cybele Sabino Lisboa. "Effects of traffic noise on calling activity of Aplastodiscus leucopygius (Anura, Hylidae)." Acta Herpetologica 19, no. 1 (2024): 29–39. http://dx.doi.org/10.36253/a_h-15334.

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Advertisement calls are the main communication form of anurans, and other individuals can use it to evaluate several aspects of the calling individual. In this context, environmental disturbances, such as traffic noise, can potentially affect this recognition. Therefore, this study aims to evaluate the response of Aplastodiscus leucopygius to traffic noise in a fragment of Atlantic Forest within the city of São Paulo. The experimentation consisted of recording the calling individual previously, during and after an exposure to urban noise. After that, individuals were measured to evaluate the S
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10

Al-Hussein Matar, Hazem Gamal, and Mohamed H. Abdelati. "Modeling the Impact of Traffic Density on Critical Gap Distribution at Unsignalized Intersections." Journal of Scientific Insights 2, no. 1 (2025): 56–60. https://doi.org/10.69930/jsi.v2i1.287.

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This study constructs mathematical models to evaluate the connection between critical gap dimensions and traffic flow volumes at traffic intersections without signals. Drivers need critical gap as the briefest gap between vehicles to safely move through the road. Traditional theoretical models maintain fixed traffic density patterns even though actual conditions from urban roads typically exhibit changing densities. Including fluctuating traffic density in this model will improve accuracy when studying how changing traffic conditions influence critical gap measurements. The model applies expon
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11

Richa, Gupta, Zafar Sherin, and Hussain Imran. "DESIGNING TRAFFIC MANAGEMENT SIMULATOR USING ARTIFICIAL INTELLIGENCE ALGORITHM." International Journal of Engineering Sciences & Emerging Technologies 11, no. 2 (2023): 171–76. https://doi.org/10.5281/zenodo.10441509.

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<em>Traffic congestion is a major problem in urban areas and has become a significant challenge for the transportation industry. Fuel consumption, air pollution and longer travel times are a result of the growth in the number of vehicles on the road. The traditional traffic management systems have become outdated and are not efficient in managing the traffic flow. A smart traffic control system that can instantly adjust to shifting traffic circumstances is required. The work presented here attempts to create a real-time, AI-based traffic control system that can recognise cars. Techniques relat
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12

Bede, Zsuzsanna, and Adam Torok. "Theoretical Investigation of Traffic Equilibrium on Bridges." Transport and Telecommunication Journal 15, no. 2 (2014): 144–50. http://dx.doi.org/10.2478/ttj-2014-0013.

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Abstract Road traffic flows on a straight road segment such as bridges are modelled in this article. The mathematical model of traffic flows has been constructed by using the method of lumped parameters. Changeable lane direction and road pricing has been theoretically investigated in order to understand the shifting in supply and/or demand curves of traffic participants in equilibrium. The article presents assumptions for constructing the mathematical model. Demand can be influenced by road pricing, in its turn, supply can be influenced by extension of infrastructure with reversible lanes.
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13

Gu, Chaoyi, Reza Farzaneh, Geza Pesti, Gabriel Valdez, and Andrew Birt. "Estimating Vehicular Emission Impact of Nighttime Construction with VISSIM and Different MOVES Emission Estimation Approaches." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 25 (2018): 174–86. http://dx.doi.org/10.1177/0361198118798988.

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Shifting work zones from daytime to nighttime is a potential solution to air quality issues on roadway with high traffic volume and where it is undesirable to close lanes during peak hours. The expected benefit of such shifting is to reduce total fuel consumption and on-road vehicle emissions. However, the magnitude of emission reductions and air quality impacts has not been examined comprehensively at work zones. The study presented in this paper investigated the traffic-related emission impacts of work zones using an urban freeway case study. A VISSIM test bed combined with the Environmental
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14

Mohit, Thodupunuri. "Mastering Traffic Shifting Across AWS Regions East and West in Harmony." European Journal of Advances in Engineering and Technology 9, no. 7 (2022): 90–95. https://doi.org/10.5281/zenodo.15606894.

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Achieving true resilience, low latency, and disaster readiness in modern cloud architectures often requires operating across multiple AWS regions. This article explores how organizations can design active-active traffic shifting between AWS East and West regions using advanced routing and failover techniques. We examine the use of Route 53 weighted and latency-based routing, AWS Global Accelerator, and other AWS-native tools to distribute workloads intelligently and ensure continuous availability. The paper also addresses critical challenges, including maintaining data consistency, managing us
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RAJA, Dr V. SAI SHANMUGA, Dr G. GUNASEKARAN, and CHINCHU NAIR. "OPTIMAL TRAFFIC CONTROL SYSTEM FOR TRAFFIC CONGESTION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–11. http://dx.doi.org/10.55041/ijsrem29177.

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A smart city's traffic management system is regarded as one of its primary components. Traffic jams are a common sight on the roadways in metropolitan areas due to the rapid increase in population and urban mobility. In order to address road traffic management issues and assist authorities with appropriate planning, an intelligent traffic management system utilizing the Yolo algorithm and Open CV approach is proposed in this project. A workable model for counting automobiles in traffic was developed using image processing as the basis. image processing methods classified and tallied moving veh
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Salim, N. A., V. N. Sulistyawan, and F. T. Intan. "Analysis and solutions of traffic shift on 4G networks in the campus environment during the Covid-19 pandemic." IOP Conference Series: Earth and Environmental Science 969, no. 1 (2022): 012027. http://dx.doi.org/10.1088/1755-1315/969/1/012027.

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Abstract The monitoring and management of Internet data traffic is an important requirement to be used and interpreted as a resource to make informed network management decisions. At the time of the covid-19 pandemic there was significant internet traffic changed caused by most of the students who returned home because of home-based lecture policies. Earlier Internet traffic that was in offices, college areas, schools and public places was so high even tended to overload. However, at present Internet traffic shifts to residential or residential areas. However, currently internet traffic is shi
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17

Kusumowardani, Estiyani Windra, Sony Sulaksono Wibowo, and Febri Zukhruf. "Analisis Perubahan Kecepatan pada Jalan Tol Semarang-Demak Akibat Bencana Banjir Rob di Pesisir Utara Semarang." Jurnal Teknik Sipil 30, no. 3 (2023): 491–93. http://dx.doi.org/10.5614/jts.2023.30.3.17.

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Problematika banjir rob telah menimbulkan berbagai macam kerugian mulai dari aspek kesehatan, lingkungan, kehidupan sosial ekonomi, dan infrastruktur. Dampak langsung banjir terhadap infrastruktur jalan berupa kerusakan fisik meliputi biaya rekonstruksi jalan yang rusak, sedangkan dampak tidak langsung meliputi biaya akibat kemacetan dan terhambatnya pengiriman logistik. Sebagai bentuk strategi adaptasi fisik terhadap kondisi banjir rob di Semarang Utara, penyelenggara jalan saat ini tengah melakukan pembangunan jalan Tol Semarang-Demak untuk mempertahankan kemampuan layan berupa arus lalu lin
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18

Ellis, William A., Sean I. FitzGibbon, Benjamin J. Barth, et al. "Daylight saving time can decrease the frequency of wildlife–vehicle collisions." Biology Letters 12, no. 11 (2016): 20160632. http://dx.doi.org/10.1098/rsbl.2016.0632.

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Daylight saving time (DST) could reduce collisions with wildlife by changing the timing of commuter traffic relative to the behaviour of nocturnal animals. To test this idea, we tracked wild koalas ( Phascolarctos cinereus ) in southeast Queensland, where koalas have declined by 80% in the last 20 years, and compared their movements with traffic patterns along roads where they are often killed. Using a simple model, we found that DST could decrease collisions with koalas by 8% on weekdays and 11% at weekends, simply by shifting the timing of traffic relative to darkness. Wildlife conservation
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19

Morphew, M. Ephimia, and Christopher D. Wickens. "Pilot Performance and Workload Using Traffic Displays to Support Free Flight." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 1 (1998): 52–56. http://dx.doi.org/10.1177/154193129804200113.

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Arising from the need to employ innovative solutions to safely and efficiently maintain air traffic separation in increasingly denser skyways, the concept of Free Flight involves shifting some air traffic management responsibilities from air traffic control specialists on the ground, to pilots in the cockpit. Such a shift in traffic management responsibilities will be critically dependent upon the development of displays to provide traffic and hazard information to pilots in the cockpit (Wickens, Carbonari, Merwin, Morphew, &amp; O'Brien (1997; Battiste (in progress); Johnson, Battiste, Delzel
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20

Jaffer, Syed Saeed, Ashiq Hussain, Muhammad Ali Qureshi, and Wasim Shahid Khawaja. "Towards the Shifting of 5G Front Haul Traffic on Passive Optical Network." Wireless Personal Communications 112, no. 3 (2020): 1549–68. http://dx.doi.org/10.1007/s11277-020-07115-6.

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21

Yao, Huaxiu, Xianfeng Tang, Hua Wei, Guanjie Zheng, and Zhenhui Li. "Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5668–75. http://dx.doi.org/10.1609/aaai.v33i01.33015668.

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Traffic prediction has drawn increasing attention in AI research field due to the increasing availability of large-scale traffic data and its importance in the real world. For example, an accurate taxi demand prediction can assist taxi companies in pre-allocating taxis. The key challenge of traffic prediction lies in how to model the complex spatial dependencies and temporal dynamics. Although both factors have been considered in modeling, existing works make strong assumptions about spatial dependence and temporal dynamics, i.e., spatial dependence is stationary in time, and temporal dynamics
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Yulianyahya, Raafi Widyaputra, and Ken Martina Kasikoen. "Analisis Dampak Lalu Lintas Pasar Ngablak Kabupaten Magelang." Media Ilmiah Teknik Sipil 12, no. 1 (2024): 29–38. http://dx.doi.org/10.33084/mits.v12i1.6216.

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Changes in the structure of urban space will affect movement patterns, ultimately burdening the existing road network in an area. Traffic Impact Analysis (TIA) is an analysis of the influence of land-use development on the system of traffic flow movement around the development; this is caused by the emergence of new traffic, shifting traffic, and vehicles coming in and out of or to the development land. The construction of Pasar Ngablak can have a new traffic impact and increase the traffic load around the market, disrupting traffic links that can reduce the level of road services. This study
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Itoh, Eri, and Mihaela Mitici. "Queue-Based Modeling of the Aircraft Arrival Process at a Single Airport." Aerospace 6, no. 10 (2019): 103. http://dx.doi.org/10.3390/aerospace6100103.

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This paper proposes data-driven queuing models and solutions to reduce arrival time delays originating from aircraft arrival processing bottlenecks at Tokyo International Airport. A data-driven analysis was conducted using two years of radar tracks and flight plans from 2016 and 2017. This analysis helps not only to understand the bottlenecks and operational strategies of air traffic controllers, but also to develop mathematical models to predict arrival delays resulting from increased, future aircraft traffic. The queue-based modeling approach suggests that one potential solution is to expand
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24

Wang, Bangyu, Grant G. Schultz, Gregory S. Macfarlane, Dennis L. Eggett, and Matthew C. Davis. "A Methodology to Detect Traffic Data Anomalies in Automated Traffic Signal Performance Measures." Future Transportation 3, no. 4 (2023): 1175–94. http://dx.doi.org/10.3390/futuretransp3040064.

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Automated traffic signal performance measures (ATSPMs) have garnered significant attention for their ability to collect and evaluate real-time and historical data at signalized intersections. ATSPM data are widely utilized by traffic engineers, planners, and researchers in various application scenarios. In working with ATSPM data in Utah, it was discovered that five types of ATSPM data anomalies (data switching, data shifting, data missing under 6 months, data missing over 6 months, and irregular curves) were present in the data. To address the data issues, this paper presents a method that en
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Rahim, Dr Abdul, E. Spoorthi Reddy, G.Shivamani, and I.Varshitha. "SMART TRAFFIC LIGHT SIGNALING STRATEGY AND EMERGENCY VEHICLE PRIORITY USING EMBEDDED SYSTEMS." Industrial Engineering Journal 54, no. 01 (2024): 48–56. https://doi.org/10.36893/iej.2024.v54i1.008.

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In order to address traffic congestion in contemporary cities, this project proposes a "Smart Traffic Light Signalling Strategy and Emergency Vehicle Priority Using Embedded Systems". In order to minimize delays, optimize traffic flow, and increase public safety, the system makes use of real-time traffic monitoring, dynamic signal adjustment, and emergency vehicle prioritizing. Through real-time adaptation, this technology provides a viable, scalable, and sustainable way to enhance urban transportation. The suggested system monitors traffic density and identifies emergency vehicles by integrat
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Hager, Carol. "The Shifting Role of Climate Change in the 2021 Bundestag Election." German Politics and Society 40, no. 4 (2022): 1–18. http://dx.doi.org/10.3167/gps.2022.400401.

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Abstract The climate crisis unfolded in real time during the 2021 Bundestag campaign, as western Germany experienced sudden, catastrophic flooding. The climate issue presented a varying and at times unexpected array of challenges and opportunities to the German political parties. In this article I will analyze the shifting role of climate change as it played out during the campaign, in the coalition discussions that followed, and in the first nine months of the new traffic light coalition government.
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Vilain, Pierre, and Paul Wolfrom. "Value Pricing and Freight Traffic: Issues and Industry Constraints in Shifting from Peak to Off-Peak Movements." Transportation Research Record: Journal of the Transportation Research Board 1707, no. 1 (2000): 64–72. http://dx.doi.org/10.3141/1707-08.

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The Port Authority of New York and New Jersey (PANYNJ), in association with Louis Berger &amp; Associates, Inc., completed a study to determine the potential for reducing peak-period commercial traffic at the interstate crossings between New Jersey and New York City. One of the policy options examined, and the focus here, was the feasibility of encouraging a reduction in peak-period congestion through the use of congestion- or value-pricing incentives. (PANYNJ recognizes the need for a coordinated approach to reducing congestion involving as many of the regional transportation authorities as p
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Ahn, Heejune, and Jae-kyoon Kim. "Shifting-level process as a LRD video traffic model and related queuing results." Computer Communications 23, no. 4 (2000): 371–78. http://dx.doi.org/10.1016/s0140-3664(99)00169-3.

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29

Anas, Ridwan, Zaid Perdana Nasution, and Adam Hasnan. "Assessing the impact of Medan-Stabat toll road on carbon monoxide pollutant in arterial roads." IOP Conference Series: Earth and Environmental Science 1294, no. 1 (2024): 012008. http://dx.doi.org/10.1088/1755-1315/1294/1/012008.

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Abstract Carbon monoxide is the result of the combustion of motorized vehicles which can pollute the air and will cause negative impacts to the health of human beings. The development of a toll road is initiated in the routes of an arterial road which have been causing congestion or terrible traffic jams, and is expected directly to reduce the amount of traffic jams and to increase the speed of travel, and indirectly to reduce air pollution in the arterial roads. The objective of this paper is to predict the effects of the Medan-Stabat Toll Road operation to the CO pollutant contents in the ar
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Cools, Mario, Elke Moons, and Geert Wets. "Assessing the Impact of Weather on Traffic Intensity." Weather, Climate, and Society 2, no. 1 (2010): 60–68. http://dx.doi.org/10.1175/2009wcas1014.1.

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Abstract This paper focuses on the effect of weather conditions on daily traffic intensities (the number of cars passing a specific segment of a road). The main objective is to examination whether or not weather conditions uniformly alter daily traffic intensities in Belgium, or in other words whether or not road usage on a particular location determines the size of the impacts of various weather conditions. This general examination is a contribution that allows policymakers to assess the appropriateness of countrywide versus local traffic management strategies. In addition, a secondary goal o
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31

Sihag, Gurmesh, Manoranjan Parida, and Praveen Kumar. "Travel Time Prediction for Traveler Information System in Heterogeneous Disordered Traffic Conditions Using GPS Trajectories." Sustainability 14, no. 16 (2022): 10070. http://dx.doi.org/10.3390/su141610070.

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Precise travel time prediction allows travelers and system controllers to be aware of the future conditions on roadways and helps in pre-trip planning and traffic control strategy formulation to lessen the travel time and mitigate traffic congestion problems. This research investigates the possibility of using the GPS trajectory dataset for travel time prediction in Indian traffic conditions having heterogeneous disordered traffic and improvement in prediction accuracy by shifting from the traditional historical average method to modern machine learning algorithms such as linear regressions, d
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Amin, Shohel. "Application of Neural Networks to Analyse the Spatial Distribution of Bicycle Traffic Before, During and After the Closure of the Mill Road Bridge in Cambridgeshire, United Kingdom." Sensors 25, no. 10 (2025): 3225. https://doi.org/10.3390/s25103225.

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Traffic congestions due to construction and maintenance works of road infrastructure cause travel delays, unpredictability and less tolerant road users. Bicyclists are more flexible with road closures, shifting to alternative routes, public transport and other active transport depending on the infrastructure, quality and transport services. However, the mixed traffic environment near road closures increases the safety risks for bicyclists. Traditional traffic monitoring systems rely on costly and demanding intrusive sensors. The application of wireless sensors and machine learning algorithms c
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Ye, Yichao, Limin Peng, Yuexiang Lin, Jianwen Liu, Mingfeng Lei, and Ruizhen Fei. "EMI Technique for Monitoring the Damage Evolution of Initial Damaged Tunnel Invert Concrete Subjected to High Traffic Cyclic Loading." Advances in Civil Engineering 2020 (October 28, 2020): 1–18. http://dx.doi.org/10.1155/2020/7459895.

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The electromechanical impedance (EMI) technique based on the PZT transducer, in the past twenty years of research progress, has demonstrated its potential for cost-effective and high damage-sensitive structural health monitoring. This paper presents an application of EMI technique for damage evolution investigation of initial damaged tunnel invert concrete under high traffic cyclic loading. In the tests, six different levels of initial damage inside the specimens, as the influencing factor, were firstly created by applying a certain number of impacts with a free-falling iron ball. Then, these
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Li, Wei, Xi Zhan, Xin Liu, Lei Zhang, Yu Pan, and Zhisong Pan. "SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction." ISPRS International Journal of Geo-Information 12, no. 8 (2023): 346. http://dx.doi.org/10.3390/ijgi12080346.

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Traffic prediction plays a significant part in creating intelligent cities such as traffic management, urban computing, and public safety. Nevertheless, the complex spatio-temporal linkages and dynamically shifting patterns make it somewhat challenging. Existing mainstream traffic prediction approaches heavily rely on graph convolutional networks and sequence prediction methods to extract complicated spatio-temporal patterns statically. However, they neglect to account for dynamic underlying correlations and thus fail to produce satisfactory prediction results. Therefore, we propose a novel Se
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Askariyeh, Mohammad Hashem, Suriya Vallamsundar, and Reza Farzaneh. "Investigating the Impact of Meteorological Conditions on Near-Road Pollutant Dispersion between Daytime and Nighttime Periods." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 25 (2018): 99–110. http://dx.doi.org/10.1177/0361198118796966.

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In urban areas in Texas and the rest of the United States, roadway work zone and construction activities are often conducted at night to reduce disruption to traffic and to prevent congestion caused by lane closures during peak hours. The reduced traffic delays due to nighttime construction have the potential to reduce traffic emissions. However, the air quality impacts associated with moving these activities from daytime to nighttime have not been studied in detail. Air quality impacts depend on two major factors: the traffic emissions and meteorological conditions. While the impact of traffi
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Holzhauser, Carolin, and Hans-Achim Wagenknecht. "“DNA Traffic Lights”: Concept of Wavelength-Shifting DNA Probes and Application in an Aptasensor." ChemBioChem 13, no. 8 (2012): 1136–38. http://dx.doi.org/10.1002/cbic.201200117.

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Levenberg, Eyal, Matteo Pettinari, Susanne Baltzer, and Britt Marie Lekven Christensen. "Comparing Traffic Speed Deflectometer and Falling Weight Deflectometer Data." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 40 (2018): 22–31. http://dx.doi.org/10.1177/0361198118768524.

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In recent years the pavement engineering community has shown increasing interest in shifting from a stationary falling weight deflectometer (FWD) to moving testing platforms such as the traffic speed deflectometer (TSD). This paper dealt with comparing TSD measurements against FWD measurements; it focused on the comparison methodology, utilizing experimental data for demonstration. To better account for differences in loading conditions between the two devices a new FWD deflection index was formulated first. This index served as reference/benchmark for assessing the corresponding TSD measureme
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Dong, Han, Yen-Yu Chen, Cinzia Cirillo, and K. I. Wong. "Lateral Movement Decision Model for Powered Two-Wheelers in Taiwan." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 2 (2019): 686–97. http://dx.doi.org/10.1177/0361198118822820.

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The maneuvering of powered two-wheelers (PTWs) is non-lane-based, and the interactions between PTWs and other vehicles in mixed traffic are complex. The behavior of PTWs, particularly in developing countries, is not the same as that of passenger cars, which has been studied for several decades. This study contributes to the existing literature on PTWs in several ways. A real-world microscopic vehicle trajectory database has been digitalized from a video clip for a four-lane urban arterial in Taipei (Taiwan). From a modeling perspective, a dynamic discrete choice model is proposed to capture th
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Sharma, Tilak, and Unmukh Datta. "A Review on Deep Learning for Anomaly and Malicious Traffic Detection in Cloud Environments." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 3256–64. https://doi.org/10.22214/ijraset.2025.67984.

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Abstract: This review paper explores the development of a deep learning-based framework aimed at improving the security of cloud computing environments by detecting anomalous and malicious traffic. The paper emphasises the requirement of realtime detection in view of the growing issues presented by sophisticated threats including distributed denial of service (DDoS) assaults, botnet traffic, and data exfiltration. Combining recurrent neural networks (RNNs) with convolutional neural networks (CNNs), models and detects traffic anomalies rather effectively. Here we derive important characteristic
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He, Sicheng, Junzhong Ji, and Minglong Lei. "Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 11 (2025): 11772–80. https://doi.org/10.1609/aaai.v39i11.33281.

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Traffic prediction provides vital support for urban traffic management and has received extensive research interest. By virtue of the ability to effectively learn spatial and temporal dependencies from a global view, Transformers have achieved superior performance in long-term traffic prediction. However, existing methods usually underrate the complex spatio-temporal entanglement in long-range sequences. Compared with purely temporal entanglement, spatio-temporal data emphasizes the entangled dynamics under the restrictions of traffic networks, which brings additional difficulties. Moreover, t
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Sura, Sahil, and Himmi Gupta. "Deep Learning Algorithm for Optimization of Wait Time at a Traffic Signal Controlled Intersection for Smart Traffic Management." International Journal for Research in Applied Science and Engineering Technology 12, no. 1 (2024): 373–85. http://dx.doi.org/10.22214/ijraset.2024.57950.

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Abstract: The urban landscape is constantly shifting and adapting as a result of factors such as population increase, immigration, and changes in the economy, politics, and culture. Concerns like growing road obstruction, transit delays, pollution levels, consumption of gasoline, etc. have resulted from higher traffic volumes in metropolitan areas. Life expectancy, road safety, environmental quality, and commute times are all impacted by traffic congestion. At junctions, traffic lights play a crucial role in regulating vehicular flow. The traditional pre-timed traffic systems have been ineffec
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Hartog, Jeroen Johan de, Hanna Boogaard, Hans Nijland, and Gerard Hoek. "Do the health benefits of cycling outweigh the risks?" Ciência & Saúde Coletiva 16, no. 12 (2011): 4731–44. http://dx.doi.org/10.1590/s1413-81232011001300022.

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Although from a societal point of view a modal shift from car to bicycle may have beneficial health effects due to decreased air pollution emissions and increased levels of physical activity, shifts in individual adverse health effects such as higher exposure to air pollution and risk of a traffic accident may prevail. We have summarized the literature for air pollution, traffic accidents, and physical activity using systematic reviews supplemented with recent key studies. We quantified the impact on all-cause mortality when 500,000 people would make a transition from car to bicycle for short
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Ruscelli, Anna Lina, and Gabriele Cecchetti. "A IEEE 802.11e HCCA Scheduler with a Reclaiming Mechanism for Multimedia Applications." Advances in Multimedia 2014 (2014): 1–22. http://dx.doi.org/10.1155/2014/372693.

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The QoS offered by the IEEE 802.11e reference scheduler is satisfactory in the case of Constant Bit Rate traffic streams, but not yet in the case of Variable Bit Rate traffic streams, whose variations stress its scheduling behavior. Despite the numerous proposed alternative schedulers with QoS, multimedia applications are looking for refined methods suitable to ensure service differentiation and dynamic update of protocol parameters. In this paper a scheduling algorithm,Unused Time Shifting Scheduler(UTSS), is deeply analyzed. It is designed to cooperate with a HCCA centralized real-time sched
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KAGRAMANIAN, Artur, Dmitriy AULIN, Karyna TRUBCHANINOVA, Jacek CABAN, Anatoly VORONIN, and Alexsandr BASOV. "PERSPECTIVES OF MULTIFUNCTIONAL INTEGRATED SUBURBAN-URBAN RAIL TRANSPORT DEVELOPMENT." Scientific Journal of Silesian University of Technology. Series Transport 120 (September 1, 2023): 105–15. http://dx.doi.org/10.20858/sjsutst.2023.120.7.

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Main requirements for rolling stock design and organization of the operating system are determined by membership in a certain transportation category for which such a transportation facility is designated. Thus, a specific feature of rolling stock operation is considered to the maximum extent, and functional correspondence with stated tasks is ensured. The significant disadvantage of the existing structure of rolling stock traffic is the necessity of time-space agreements of passenger traffic due to the necessity of shifting different transport types with the minimum time consumption. The solu
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KAGRAMANIAN, Artur, Dmitriy AULIN, Karyna TRUBCHANINOVA, Jacek CABAN, Anatoly VORONIN, and Alexsandr BASOV. "PERSPECTIVES OF MULTIFUNCTIONAL INTEGRATED SUBURBAN-URBAN RAIL TRANSPORT DEVELOPMENT." Scientific Journal of Silesian University of Technology. Series Transport 120 (September 1, 2023): 105–15. http://dx.doi.org/10.20858/sjsutst.2023.120.7.

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Main requirements for rolling stock design and organization of the operating system are determined by membership in a certain transportation category for which such a transportation facility is designated. Thus, a specific feature of rolling stock operation is considered to the maximum extent, and functional correspondence with stated tasks is ensured. The significant disadvantage of the existing structure of rolling stock traffic is the necessity of time-space agreements of passenger traffic due to the necessity of shifting different transport types with the minimum time consumption. The solu
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Trung, Nguyen Chi, Vuong Xuan Can, and Vu Trong Thuat. "EXPLORING HUMAN-ERROR FACTORS CONTRIBUTING TO MOTORCYCLE ACCIDENTS IN HANOI CITY USING GREY RELATIONAL ANALYSIS." ASEAN Engineering Journal 13, no. 2 (2023): 25–31. http://dx.doi.org/10.11113/aej.v13.18537.

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Along with the development of the economy and society and the speedy increasing number of personal vehicles, especially motorcycles, many cities in developing countries like Hanoi (Vietnam) are facing many transportation problems, notably traffic accidents involving motorcyclists. Motorcycle accidents are caused by main human-error factors, and could be considered as the typical grey system with the features of complexity and imperfect information. In this study, a grey relational analysis (GRA) model of the human-error factors is presented to quickly explore the main human-error factors contr
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Ahmed, Md, Sameer Alam, and Michael Barlow. "A Cooperative Co-Evolutionary Optimisation Model for Best-Fit Aircraft Sequence and Feasible Runway Configuration in a Multi-Runway Airport." Aerospace 5, no. 3 (2018): 85. http://dx.doi.org/10.3390/aerospace5030085.

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A careful arrival and departure sequencing of aircraft can reduce the inter-arrival/departure time, thereby opening up opportunities for new landing and/or take-off slots, which may increase the runway throughput. This sequence when serviced with a suitable runway configuration may result in an optimal aircraft sequence with a runway configuration that can process the maximum number of aircraft within a given time interval. In this paper, we propose a Cooperative Co-evolutionary Genetic Algorithm (CCoGA) to find the combined solution of a best-fit sequence with a feasible runway configuration
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Korzhenevich, I. P., M. B. Kurgan, and N. P. Khmelevs’ka. "Determination of the work scope for removal of speed restrictions related to the track plan." Science and Transport Progress, no. 41 (August 25, 2012): 116–23. http://dx.doi.org/10.15802/stp2012/7878.

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The greatest number of restrictions is related to the parameters and condition of curvilinear track sections. The technique for determination of cost of reorganization of curves at introduction of high-speed traffic for difficult sections of the track plan is developed. The law of work scope change depending on methods of the curve reorganization is established: expanding an existing track bed, adding a new track bed to existing one or shifting a track bed to a new route.
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Huboyo, Haryono Setiyo, Wiwandari Handayani, Budi Prasetyo Samadikun, and Didin Agustian Permadi. "Bus Rapid Transport System in Semarang City: Views of Current Users, Potential Users and Related Emission." Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan 19, no. 2 (2022): 222–30. http://dx.doi.org/10.14710/presipitasi.v19i2.222-230.

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Abating the air emission related to the transportation sector by operation of the Bus Rapid Transport (BRT) system has been adopted in Indonesia. This study was conducted to obtain an overview of the implementation of BRT, the success of shifting private vehicles to BRT, and the number of emissions resulting from the operation of BRT. The study was conducted using a questionnaire and observations in BRT vehicles. A questionnaire survey was conducted randomly across Semarang sub-districts for 701 private vehicles consisting of cars and motorcycles in a parking lot. Questionnaires were distribut
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Křehlík, Štěpán. "n-Ary Cartesian Composition of Multiautomata with Internal Link for Autonomous Control of Lane Shifting." Mathematics 8, no. 5 (2020): 835. http://dx.doi.org/10.3390/math8050835.

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In this paper, which is based on a real-life motivation, we present an algebraic theory of automata and multi-automata. We combine these (multi-)automata using the products introduced by W. Dörfler, where we work with the cartesian composition and we define the internal links among multiautomata by means of the internal links’ matrix. We used the obtained product of n-ary multi-automata as a system that models and controls certain traffic situations (lane shifting) for autonomous vehicles.
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