Academic literature on the topic 'Traffic intersections'

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Journal articles on the topic "Traffic intersections"

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Wang, Lili, Wanle Wang, Fang Wei, and Yakun Hu. "Research on the Classification of Air Route Intersections in the Airspace of China." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 2 (2019): 243–51. http://dx.doi.org/10.1177/0361198118825452.

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As the intersecting points of crossing traffic flows, air route intersections are the major bottlenecks in the world’s airspace due to restricted airspace and rapid growth of air traffic. In order to reduce controller workload and maintain traffic safety, air traffic operation units in China devised the idea of “overpasses” at busy intersections. The basic idea is to strategically separate flows of aircraft on intersecting routes vertically by allocating distinct flight levels to them. In practice, aircraft are required to maintain an agreed flight level en route long before they cross the intersection. With more and more “overpasses” being established, the available airspace is becoming more restricted, the result of which is a drop in the overall airspace efficiency. Therefore, the air traffic management community would benefit from a quantification indicator to determine whether an overpass should be established at a particular intersection. In this paper, such an indicator—a classification index—is proposed for air route intersections based on the calculated intersection complexity and collision risk. Additionally, according to the calculation results of the classification index for typical intersections in Chinese airspace, an intersection classification system is presented, which can serve as guidance for the establishment of overpasses in the future. A case study is provided to demonstrate the working of the system. The proposed intersection classification method should help decision makers better understand the operation characteristics of intersections in Chinese airspace and make informed decisions to balance workload and efficiency.
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Tilahun Fetene, Abeje. "Evaluating the performance of Signalized intersection using SIDRA software: A case study in Bahir Dar city, Ethiopia." Put i saobraćaj 71, no. 1 (2025): 1–8. https://doi.org/10.31075/pis.71.01.01.

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This paper aims to assess the performance of signalized intersections in Bahir Dar City, Ethiopia, utilizing SIDRA software. Signalized intersections play a crucial role in urban traffic management, influencing the efficiency and safety of transportation systems. Through a case study approach, this research evaluates the effectiveness of signalized intersections in Bahir Dar City, focusing on aspects such as traffic flow, delay, and level of service. The study utilizes SIDRA software, a widely-used tool for traffic analysis and simulation, to model and analyze intersection performance under various conditions. Data collection includes field observations, traffic counts, and intersection geometries. The findings provide insights into the current state of signalized intersections in Bahir Dar City are Inadequate split signal phasing and a general lack of need for the signal in favor of a roundabout are the main factors influencing how well an intersection performs. Before improvement, the average wait time and length of the line at the intersection were greater than they were after improvement. So as to enhance the junction by phasing time correction and signal replacement with a roundabout. Finally, the intersection's average delay, queue length, and quality of service have all improved. Accordingly, the findings of the Depo signalized major intersections' performance analysis show that some of the intersections are overloaded or in poor condition and offer recommendations for improvement to enhance traffic efficiency and safety.
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Nightingale, Ellen, Niloo Parvin, Cortney Seiberlich, Peter T. Savolainen, and Michael Pawlovich. "Investigation of Skew Angle and Other Factors Influencing Crash Frequency at High-Speed Rural Intersections." Transportation Research Record: Journal of the Transportation Research Board 2636, no. 1 (2017): 9–14. http://dx.doi.org/10.3141/2636-02.

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Intersections experience a disproportionate share of traffic crashes, injuries, and fatalities because of the increased number of conflicting traffic movements at these locations. These issues are particularly pronounced at rural locations where speeds are generally higher and most intersections are either stop- or yield-controlled. Ideally, intersecting roadways should be oriented at as close to a 90-degree angle as possible. However, intersection design can diverge from this preferred configuration and result in a skewed intersection. Skewed intersections have been found to cause safety and operational issues for road users. To determine the effect of intersection skewness on crash frequency, crash prediction models were estimated for rural stop-controlled intersections on high-speed two-lane highways throughout the state of Iowa. Separate analyses were conducted for three-leg and four-leg intersections. In both cases, crash frequency was estimated as a function of annual average daily traffic, skew angle, and other salient geometric characteristics. The results consistently showed crash frequency to increase with skew angle. A 10-degree deviation from 90 degrees would result in 3% more crashes at three-leg intersections and 4% more crashes at four-leg intersections. In addition, crashes were affected by the volume of heavy vehicles, whether the approaches were paved or unpaved and whether intersection lighting was present.
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Wang, Zihan. "Study on Fine Design Method of Intersection under Slow Traffic System." World Construction 9, no. 1 (2020): 1–8. http://dx.doi.org/10.26789/jwc.2020.01.001.

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In the process of rapid development of urban traffic, Chinese intersections have made great progress in meeting the basic needs of urban road traffic, but the intersection design method under the slow traffic system is imperfect.First of all, by analyzing the problems of walking and non-motor vehicle intersections in domestic cities, and comparing and analyzing the excellent foreign cases, the basic idea of fine intersection design is constructed.Finally, take the slow traffic intersection as an example, from the perspective of the traffic individual analysis, the fine design of the intersection under the slow traffic system.Drawing on the organizational experience of the design of foreign intersections under the slow traffic system, it proposes the fine design strategy of urban intersections in China.
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Lanović, Zdenko. "Complementarity of Traffic Flow Intersecting Method with Intersection Capacity Analysis." PROMET - Traffic&Transportation 21, no. 4 (2012): 229–38. http://dx.doi.org/10.7307/ptt.v21i4.229.

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The paper studies the complementarity of the methods from the field of traffic flow theory: methods of traffic flow intersecting intensity and the method for the at-grade intersection capacity analysis. Apart from checking mutual implications of these methods, the proportionality of mutual influences is assessed. Harmonized application of these methods acts efficiently on the entire traffic network, and not only on the intersections that are usually incorrectly represented as the only network operators. Theoretical considerations are illustrated by a practical example. KEY WORDS: traffic flow theory, theory of organization and direction of traffic flows, intersecting intensity of traffic flows, intersection capacity, optimization
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Danyliuk, A. H. "APPLICATION OF ANT COLONY OPTIMIZATION ALGORITHM IN ROAD TRAFFIC CONTROL." Computer systems and network 6, no. 2 (2024): 25–33. https://doi.org/10.23939/csn2024.02.025.

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Abstract: The relevance of the research is determined by the need to optimize traffic light control at intersections to reduce congestion and delays and increase the capacity of intersections. A practical solution to this problem is using intelligent transport systems and specific decision-making subsystems. However, automating such tasks requires scientific research to develop effective algorithms suitable for practical use. This work proposes an approach to optimizing traffic light control at intersections that considers the traffic flow parameters at a specific intersection and those at adjacent intersections, utilizing an ant colony optimization algorithm to optimize traffic light control at neighboring intersections. The results obtained show that this approach is more effective compared to existing methods and has the potential to reduce delays by 10% and increase intersection capacity by 15% and more. Keywords: Adaptive traffic management, cyber-physical system, intersections, jams, traffic, traffic light controller.
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Danyliuk, A. H. "APPLICATION OF ANT COLONY OPTIMIZATION ALGORITHM IN ROAD TRAFFIC CONTROL." Computer systems and network 6, no. 2 (2024): 26–34. https://doi.org/10.23939/csn2024.02.026.

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Abstract: The relevance of the research is determined by the need to optimize traffic light control at intersections to reduce congestion and delays and increase the capacity of intersections. A practical solution to this problem is using intelligent transport systems and specific decision-making subsystems. However, automating such tasks requires scientific research to develop effective algorithms suitable for practical use. This work proposes an approach to optimizing traffic light control at intersections that considers the traffic flow parameters at a specific intersection and those at adjacent intersections, utilizing an ant colony optimization algorithm to optimize traffic light control at neighboring intersections. The results obtained show that this approach is more effective compared to existing methods and has the potential to reduce delays by 10% and increase intersection capacity by 15% and more. Keywords: Adaptive traffic management, cyber-physical system, intersections, jams, traffic, traffic light controller.
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Kalašová, Alica, Miloš Poliak, Laura Škorvánková, and Peter Fabian. "Optimization of Traffic at Uncontrolled Intersections: Comparison of the Effectiveness of Roundabouts, Signal-Controlled Intersections, and Turbo-Roundabouts." Urban Science 8, no. 4 (2024): 217. http://dx.doi.org/10.3390/urbansci8040217.

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This study focuses on optimizing traffic flow at uncontrolled intersections by comparing the effectiveness of different intersection types: roundabouts, signal-controlled intersections, and turbo-roundabouts. The purpose is to determine which type offers the best solution for enhancing traffic efficiency, reducing delays, and improving safety. The research employs simulation-based modeling to analyze traffic performance under varying traffic conditions. Critical parameters such as vehicle flow rate, average delay time, and capacity are used to assess the performance of each intersection type. The results indicate that turbo-roundabouts outperform conventional roundabouts and signal-controlled intersections in terms of both capacity and reduction in delays. The findings suggest that implementing turbo-roundabouts at high-traffic intersections can significantly improve traffic flow and reduce congestion. However, the effectiveness of each solution is context-dependent, with signal-controlled intersections still being advantageous under specific conditions, particularly in highly urbanized areas. This study provides valuable insights for transportation planners and engineers, highlighting the importance of intersection design in traffic optimization.
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Chen, Deqi, Xuedong Yan, Xiaobing Liu, Liwei Wang, Fengxiao Li, and Shurong Li. "Multi-Task Fusion Deep Learning Model for Short-Term Intersection Operation Performance Forecasting." Remote Sensing 13, no. 10 (2021): 1919. http://dx.doi.org/10.3390/rs13101919.

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Urban road intersection bottleneck has become an important factor in causing traffic delay and restricting traffic efficiency. It is essential to explore the prediction of the operating performance at intersections in real-time and formulate corresponding strategies to alleviate intersection delay. However, because of the sophisticated intersection traffic condition, it is difficult to capture the intersection traffic Spatio-temporal features by the traditional data and prediction methods. The development of big data technology and the deep learning model provides us a good chance to address this challenge. Therefore, this paper proposes a multi-task fusion deep learning (MFDL) model based on massive floating car data to effectively predict the passing time and speed at intersections over different estimation time granularity. Moreover, the grid model and the fuzzy C-means (FCM) clustering method are developed to identify the intersection area and derive a set of key Spatio-temporal traffic parameters from floating car data. In order to validate the effectiveness of the proposed model, the floating car data from ten intersections of Beijing with a sampling rate of 3s are adopted for the training and test process. The experiment result shows that the MFDL model enables us to capture the Spatio-temporal and topology feature of the traffic state efficiently. Compared with the traditional prediction method, the proposed model has the best prediction performance. The interplay between these two targeted prediction variables can significantly improve prediction accuracy and efficiency. Thereby, this method predicts the intersection operation performance in real-time and can provide valuable insights for traffic managers to improve the intersection’s operation efficiency.
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Ranjitkar, Prakash, Amin Shahin, and Fasihullah Shirwali. "Evaluating Operational Performance of Intersections Using SIDRA." Open Transportation Journal 8, no. 1 (2014): 50–61. http://dx.doi.org/10.2174/1874447801408010050.

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Traffic congestion has significant social, economic and environmental costs associated with it. Efficiency of intersections contributes significantly towards the efficiency of whole urban road networks as they are the main bottlenecks in the system. This paper presents a comparative analysis of the operational efficiency of priority controlled, roundabout and signalised intersections under a range of traffic conditions with different volume and turning ratios using SIDRA software. We used three measures to represent the operational efficiency namely: intersection capacity, average delay and total emissions. The analysis revealed strengths and weaknesses of each intersection types under a range of demand and traffic conditions. At low traffic demand, priority controlled intersections outperformed the other two forms of intersection control. At moderate traffic demand, roundabout performed the best while at high traffic demand, signalised intersections performed the best.
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Dissertations / Theses on the topic "Traffic intersections"

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Hewson, Grant. "Intersections: Essays on traffic." Thesis, Hewson, Grant (1997) Intersections: Essays on traffic. PhD thesis, Murdoch University, 1997. https://researchrepository.murdoch.edu.au/id/eprint/51497/.

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Traffic today is everywhere and nowhere. It is everywhere in our cities and towns; and everywhere in the intellectual landscape, too. But is nowhere in the sense that it has no clear centre. There is no one body of thinking on traffic: no ‘trafficology’. The point of this thesis is not to invent such a discipline but rather to collect together, in a series of thematically linked essays, the main forms of thought that exist today in order to give us multiple senses of traffic. The disciplines in question are, on the one hand, urban planning, mass communications and urban sociology, and on the other, philosophy and literature. The first three of these are taken as 'social scientific' treatments of traffic as a site around which notions of 'authentic' and 'inauthentic' social being distinguish themselves. The conclusions reached about these disciplines is that none of them is able to clearly ground traffic in its externality. Then in part two of this thesis, philosophical and literary uptakes of traffic are examined. Here the thesis shows that these expressive forms of writing are geared to confront this near impossibility—the grounding of traffic in its externality—to confront this directly, in its detail, and also in its grounds. In the conclusion, the thesis moves on to compare these two tensions: social science's unsatisfiable quest for an 'outside' to traffic (as the mark of social in/authenticity) and the 'arts" determination to provide both grounds for, and details of, this impossibility. In short, they provide the double senses of traffic-in-general and traffic-in-its-specificity.
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Andrade, Nilton Pereira de. "The traffic operation of staggered intersections." Thesis, University of Southampton, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315289.

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Tian, Zhili 1965. "Capacity analysis of traffic-actuated intersections." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/84842.

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Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.<br>Includes bibliographical references (p. 84-86).<br>by Zhili Tian.<br>S.M.in Transportation
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Peddi, Sai Prathyusha. "Real-Time Traffic Control for Isolated Intersections." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1373556580.

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Pretorius, Pieter. "Delay in networks of signalised intersections." Thesis, Queensland University of Technology, 2001.

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Einhorn, Mark David. "Self-organising traffic control algorithms at signalised intersections." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/96751.

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Thesis (PhD)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: The debilitating social, economic and environmental ramifications of traffic congestion are experienced in large cities the world over. The optimisation of traffic signal timings at signalised road intersections attempts to mitigate the extent of these adverse effects of traffic congestion by reducing the delay time experienced by vehicles in a transport network. Today, traffic signal control schemes may be classiffied into one of two main classes, namely fixed-time traffic signal control strategies, which are typically cyclic in nature, and vehicle-actuated traffic signal control strategies, which are typically acyclic in nature. Generally, cyclic control strategies tend to lack exibility, and are unable to adapt to short-term uctuations in traffic ow rates, resulting in green times that are either too long or too short. On the other hand, acyclic control strategies tend to lack coordination between intersections, resulting in vehicles being required to stop at the majority of signalised intersections they encounter. Self-organising traffic signal control has been proposed as an attractive alternative form of control which both exhibits exibility and facilitates a global coordination between intersections as a result of localised signal switching policies. Two examples of existing self-organising traffic signal control algorithms from the literature include an algorithm proposed by Lammer and Helbing in 2008 and an algorithm proposed by Gershenson and Rosenblueth in 2012. These algorithms have been shown to outperform both optimised fixed-time traffc signal control techniques as well as state-of-the-art vehicle actuated trffic signal control techniques, in terms of reducing vehicle delay time in a transport network. A draw-back of both of these self-organising approaches, however, is that their effective operation relies on carefully selected parameter values; poorly selected parameter values may render these algorithms very ineffectual. In this dissertation, three novel self-organising traffic signal traffic control algorithms are proposed. These three algorithms assume the use of existing radar detection sensors mounted at the intersection to provide the necessary input data. The radar detection sensors are capable of detecting and tracking individual vehicles approaching an intersection, providing real-time information pertaining to their physical dimensions, velocities, and ranges from the intersection in terms of both time and distance. The three traffic signal control algorithms are free of any user-specialised parameters, and instead rely solely on the data provided by the radar detection sensors to inform their signal switching policies. The first of these traffic signal control algorithms is inspired by inventory control theory, and draws parallels between the monetary costs typically considered in inventory control models and the delay time costs associated with traffic control at signalised intersections, which the algorithm attempts to minimise. The second novel traffic control algorithm is inspired by the chemical process of osmosis in which solvent molecules move unaided from a region where they are highly concentrated, across a semi-permeable membrane, into a region of high solute molecule concentration. The algorithm models vehicles approaching an intersection as solvent molecules and the physical space available for the vehicles to occupy once they have passed through the intersection as solute molecules. Following this analogy, the intersection is considered to be the semi-permeable membrane. The third traffic control algorithm is a hybrid of the inventory and osmosis-inspired algorithms together with an intersection utilisation maximisation technique, which prevents unnecessary or prolonged underutilisation of an intersection. The three novel trafficc control algorithms, together with the algorithms of Lammer and Helbing, and of Gershenson and Rosenblueth, as well as a fixed-time control algorithm, are implemented in a purpose-built microscopic traffic simulation modelling framework. Several measures are employed to evaluate the relative performances of the algorithms. These measures include the usual mean and maximum resulting delay times incurred by vehicles and the saturation level of the roadways in the transport network, as well as three novel performance measure indicators which include the mean number of stops made by vehicles, their mean normalised delay time and the mean normalised number of stops made. The algorithms are compared in the context of a linear corridor road network topology as well as a grid road network topology under various traffic ow conditions. The overall performance of the novel hybrid traffic signal control algorithm is found to be superior for the corridor road network topology, while the performance of the osmosis-inspired algorithm is found to be superior for the grid road network topology.<br>AFRIKAANSE OPSOMMING:Die negatiewe sosiale, ekonomiese en omgewingsimpak van verkeersopeenhoping word in groot stede regoor die w^ereld ervaar. Die doel met die optimering van verkeersligwerkverrigting by straatkruisings is om die omvang van hierdie negatiewe impak tee te werk deur die vertraging van voertuie in 'n vervoernetwerk te verminder. Hedendaagse verkeersbeheeralgoritmes kom in een van twee hoofklasse voor, naamlik vaste-tyd beheerstrategiee, wat gewoonlik siklies van aard is, en beheerstrategiee gebaseer op voertuigopsporing, wat tipies asiklies van aard is. Oor die algemeen beskik sikliese beheerstrategiee nie oor genoegsame buigsaambeid om aan te pas by kort-termyn fluktuasies in verkeersvloei nie, wat tipies daartoe lei dat hul groentye spesifiseer wat of te lank of te kort is. Aan die ander kant is asikliese beheerstrategiee nie daartoe in staat om koordinasie tussen naasliggende straatkruisings te bewerkstellig nie, wat weer daartoe lei dat voertuie genoodsaak word om by die oorgrote meerderheid straatkruisings op hul pad te stop. Die self-organiserende beheer van verkeersligte is as 'n aantrektlike, buigsame alternatief voorgestel wat in staat is om globale koordinasie tussen naasliggende straatkruisings as gevolg van gelokaliseerde seinstrategiee te bewerkstellig. Twee voorbeelde van bestaande self-organiserende verkeersbeheeralgoritmes in die literatuur is die algoritmes wat in 2008 deur Lammer and Helbing en in 2012 deur Gershenson en Rosenblueth voorgestel is. Daar is aangetoon dat hierdie algoritmes daartoe in staat is om ge-optimeerde vaste-tyd beheerstrategiee sowel as gevorderde strategiee gebaseer op voertuigopsporing uit te stof in terme van 'n vermindering van die vertraging van voertuie in 'n vervoernetwerk. 'n Nadeel van beide hierdie self-organiserende benaderings is egter dat hul doeltreffende werkverrigting berus op versigtig-gekose parameterwaardes; willekeurige parameterwaardes mag lei na hoogs ondoeltreffende werkverrigitng van die algoritmes. Drie nuwe self-organiserende verkeersbeheeralgoritmes word in hierdie proefskrif voorgestel. Hierdie drie algoritmes maak vir hul toevoerdata staat op die beskikbaarhed van bestaande radar opsporingsensors wat by straatkruisings geinstalleer is. Die sensors is daartoe in staat om individuele voertuie wat 'n straatkruising nader, op te spoor, te volg en intydse data oor hul fisiese dimensies, snelhede, en afstande na die kruising (in terme van beide tyd en afstand) te lewer. Die drie algoritmes bevat geen gebruikers-gespesifiseerde parameters nie, en maak in plaas daarvan slegs gebruik van die sensortoevoerdata om hul beheerstrategiee te bepaal. Die eerste van hierdie verkeersbeheeralgoritmes is deur die teorie van voorraadbeheer geinspireer en maak gebruik van parallelle tussen die monet^ere kostes wat tipies in voorraadbeheermodelle voorkom en die kostes in terme van vertragingstyd wat met verkeersbeheer by straatkruisings aangegaan word, en wat deur die algoritme geminimeer word. Die tweede verkeersbeheeralgoritme is deur die chemiese proses van osmose geinspireer, waar molekules van 'n oplossingsmiddel sonder eksterne hulp vanaf 'n gebied waar hul in hoe konsentrasie voorkom, deur 'n gedeeltelik-deurlaatbare membraan beweeg na 'n gebied waarin hul ook in hoe konsentrasie, maar in opgeloste vorm voorkom. Die algoritme modelleer voertuie wat 'n straatkruising nader as die molekules van die oplossingsmiddel en die fisiese ruimte wat aan die ander kant van die kruising beskikbaar is om deur voertuie beset te word, as molekules in opgeloste vorm. In hierdie analogie word die kruising self as die gedeeltelik-deurlaatbare membraan beskou. Die derde algoritme is 'n hibriede strategie waarin elemente van die eerste twee algoritmes in samewerking met 'n tegniek vir die maksimering van straatkruisingsbenutting gekombineer word, en wat wat ten doel het om onnodige of verlengte onderbenutting van die kruising te vermy. Hierdie drie nuwe verkeersbeheeralgoritmes word, tesame met die bestaande algoritmes van Lammer en Helbing, en van Gershenson en Rosenblueth, asook 'n vaste-tyd beheeralgoritme, in 'n mikroskopiese verkeersimulasiemodelleringsraamwerk wat spesifiek vir die doel ontwerp is, geimplementeer. Verskeie maatstawwe word ingespan om die relatiewe werkverrigting van die algoritmes te evalueer. Hierdie maatstawwe sluit in die gebruiklike gemiddelde en maksimum vertragingstye van voertuie en die versadigingsvlak van strate in die vervoernetwerk, sowel as drie nuwe maatstawwe, naamlik die gemiddelde aantal stoppe deur voertuie, hul genormaliseerde vertragingstye en die gemiddelde, genormaliseerde aantal stoppe. Die algoritmes word in die kontekste van 'n line^ere topologie van opeenvolgende straatkruisings en 'n netwerktopologie van reghoekige straatblokke onder verskeie verkeersdigthede met mekaar vergelyk. Daar word bevind dat die nuwe hibriede algoritme die beste vaar in die line^ere topologie, terwyl die osmose-ge inspireerde algoritme die ander algoritmes uitstof in die straatblok-netwerktopologie.
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Thomas, Chester. "Georgia intersection safety improvement program." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24620.

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Watson, Christopher Earl. "Statistical analysis of crashes occurring at intersections in malfunction flash." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26508.

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Thesis (M. S.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2009.<br>Committee Member: Hunter, Michael; Committee Member: Meyer, Michael; Committee Member: Rodgers, Michael. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Al-Madani, Hashim Mohammad Noor. "Dynamic queuing models for oversaturated signalised intersections." Thesis, University of Leeds, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305842.

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Li, Pengfei. "Stochastic Methods for Dilemma Zone Protection at Signalized Intersections." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28805.

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Dilemma zone (DZ), also called decision zone in other literature, is an area where drivers face an indecisiveness of stopping or crossing at the yellow onset. The DZ issue is a major reason for the crashes at high-speed signalized intersections. As a result, how to prevent approaching vehicles from being caught in the DZ is a widely concerning issue. In this dissertation, the author addressed several DZ-associated issues, including the new stochastic safety measure, namely dilemma hazard, that indicates the vehiclesâ changing unsafe levels when they are approaching intersections, the optimal advance detector configurations for the multi-detector green extension systems, the new dilemma zone protection algorithm based on the Markov process, and the simulation-based optimization of traffic signal systems with the retrospective approximation concept. The findings include: the dilemma hazard reaches the maximum when a vehicle moves in the dilemma zone and it can be calculated according the caught vehiclesâ time to the intersection; the new (optimized) GES design can significantly improve the safety, but slightly improve the efficiency; the Markov process can be used in the dilemma zone protection, and the Markov-process-based dilemma zone protection system can outperform the prevailing dilemma zone protection system, the detection-control system (D-CS). When the data collection has higher fidelity, the new system will have an even better performance. The retrospective approximation technique can identify the sufficient, but not excessive, simulation efforts to model the true system and the new optimization algorithm can converge fast, as well as accommodate the requirements by the RA technique.<br>Ph. D.
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Books on the topic "Traffic intersections"

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Brilon, Werner, ed. Intersections without Traffic Signals. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83373-1.

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Brilon, Werner, ed. Intersections without Traffic Signals II. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84537-6.

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Guberinić, Slobodan. Optimal traffic control: Urban intersections. CRC Press, 2008.

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Guberinić, Slobodan. Optimal traffic control: Urban intersections. CRC Press, 2007.

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Center, Turner-Fairbank Highway Research, and Kittelson & Associates, eds. Signalized intersections: Informational guide. Federal Highway Administration, 2004.

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Messer, Carroll J. Traffic operations of basic actuated traffic control systems at diamond interchanges. Texas Transportation Institute, Texas A&M University System, 1985.

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Massachusetts. Metropolitan Area Planning Council. Traffic study: Grove & Columbian Streets in Braintree. Metropolitan Area Planning Council, [1985], 1985.

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Guberinić, Slobodan. Optimal Traffic Control. Taylor and Francis, 2007.

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Parker, D. J. Large truck braking at signalized intersections. Research and Development Branch, Ministry of Transportation of Ontario, 1988.

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Lord, Dominique. Pedestrian conflicts and left-turning traffic at signalized intersections. National Library of Canada, 1994.

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Book chapters on the topic "Traffic intersections"

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Ni, Daiheng. "Traffic Signal Coordination." In Signalized Intersections. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38549-1_14.

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Ni, Daiheng. "Warrants of Traffic Signals." In Signalized Intersections. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38549-1_2.

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Salter, R. J. "Roundabout intersections." In Highway Traffic Analysis and Design. Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-13423-6_20.

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Salter, R. J. "Roundabout intersections." In Highway Traffic Analysis and Design. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-20014-6_20.

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Elefteriadou, Lily. "Unsignalized Intersections." In An Introduction to Traffic Flow Theory. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8435-6_10.

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Elefteriadou, Lily. "Unsignalized Intersections." In An Introduction to Traffic Flow Theory. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-54030-1_11.

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Salter, R. J. "Priority Intersections, Gap and Lag Acceptance." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_11.

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Salter, R. J. "The Capacity of Oversaturated Priority Intersections." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_13.

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Salter, R. J. "Platoon Dispersion between Signal Controlled Intersections." In Traffic Engineering. Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_27.

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Cedersund, H. Å. "Traffic Safety at Roundabouts." In Intersections without Traffic Signals. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83373-1_19.

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Conference papers on the topic "Traffic intersections"

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Moldakhmetov, Didar, Madina Mansurova, Baurzhan Belgibayev, Zhanel Baigarayeva, Talshyn Sarsembayeva, and Asel Ospan. "AI-Powered Traffic Management for Busy Intersections." In 2024 20th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS). IEEE, 2024. http://dx.doi.org/10.1109/opcs63516.2024.10720388.

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feng, pengfei, Huiqing Jin, jiajian xu, and mingyu lu. "Signal timing analysis and optimization of urban combined traffic intersections." In Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), edited by Hao Chen and Wei Shangguan. SPIE, 2025. https://doi.org/10.1117/12.3050924.

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Wei, Shengrui, Pengrui Li, Miaomiao Liu, et al. "Vehicle dynamic risk assessment at intersections based on gravitational model." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054724.

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Martiakhin, Dmitri, Tatiana Komarova, Dmitri Nemchinov, and Alexandr Mikhailov. "U-turn capacity at signalized intersections." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1012.

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The article presents the results of a study of the intersections capacity, at which the U-turn lane is organized, depending on the traffic flow volume and its organization. Signalized intersection capacity depends on traffic flow, geometry, traffic organization type, driver’s behaviour and headways between drivers in each traffic lane. To analyse signalized intersection capacity it is necessary to determine traffic lanes saturation flow. The study presents field observation analyses of headways between drivers and saturation flow on U-turn lanes at signalised intersections in Moscow. To conduct research and identify patterns, intersections in Moscow were chosen with different conditions and different organization of the U-turns.
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Iwase, Tatsuya, Sebastian Stein, Enrico H. Gerding, and Archie Chapman. "A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/534.

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Autonomous intersection management has the potential to reduce road traffic congestion and energy consumption. To realize this potential, efficient algorithms are needed. However, most existing studies locally optimize one intersection at a time, and this can cause negative externalities on the traffic network as a whole. Here, we focus on coordinating multiple intersections, and formulate the problem as a distributed constraint optimisation problem (DCOP). We consider three utility design approaches that trade off efficiency and fairness. Our polynomial-time algorithm for coordinating multiple intersections reduces the traffic delay by about 41 percentage points compared to independent single intersection management approaches.
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Chernykh, Z., and Nadezhda Yudina. "ANALYSIS OF THE INFLUENCE OF FLOW ON TRAFFIC." In CHALLENGING ISSUES IN SYSTEMS MODELING AND PROCESSES. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2025. https://doi.org/10.58168/cismp2024_785-787.

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The article discusses a model that will help determine the influence of one traffic flow on another when a car moves at an intersection. To assess the distribution of traffic flows at intersections, we use statistical methods.
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Vajović, Jelena, and Marina Stevanović. "PROPOSAL OF MEASURES FOR IMPROVING TRAFFIC SAFETY USING THE SELECTED INTERSECTION IN THE CITY OF PANČEVO." In Conference Road Safety in Local Community. Road Safety in Local Community, 2024. http://dx.doi.org/10.46793/rsaflc24.596v.

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Designing roads involves a research process that requires establishing appropriate access widths while simultaneously maintaining a stable hierarchical organization. Contemporary trends in road design demand a balance between meeting transportation and safety needs, as well as the needs of the local population. It is necessary to consider the needs of all traffic participants and focus on solving the problems of traffic accidents that have occurred at a greater number of intersections. This paper presents measures and proposals regarding the possibilities of managing traffic safety at intersections. According to data on the total number and consequences of traffic accidents in the Republic of Serbia, it can be observed that the number of injuries as well as the total number of casualties in traffic accidents in the Republic of Serbia had a decreasing trend from 2018 to 2020, where the highest number of traffic accidents resulted only in material damage. Out of the total number of traffic accidents, around 27% occur at intersections, and out of the total number of traffic accidents at intersections, as much as 81% occur at intersections that are not regulated by traffic lights. In the context of a large number of conflict situations at intersections, possible improvements can be divided into two groups: infrastructure solutions and advanced solutions. The advantage of infrastructure solutions lies in the fact that participants can perceive the traffic situation at intersections more broadly and comprehensively. Using a specific intersection as an example, proposals for measures to improve traffic safety are given.
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Rathnayake, Ishantha, Niranga Amarasinghe, Vasantha Wickramasinghe, and Kavindi Liyanage. "Queue Length Prediction at Un-Signalized Intersections with Heterogeneous Traffic Conditions." In The SLIIT International Conference on Engineering and Technology 2022. Faculty of Engineering, SLIIT, 2022. http://dx.doi.org/10.54389/pkfl8922.

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Increasing queue lengths while reducing average vehicle speeds is a notable criterion in intersections with heterogeneous traffic conditions. Such queue lengths vary with different intersection controls. This study aimed to estimate the queue length at un-signalized intersections with heterogeneous traffic conditions. The study was done for un-signalized intersections in Peradeniya and Weliwita, Sri Lanka and the data were collected through video recordings. The queue lengths in an un-signalized intersection with mixed traffic conditions have an instantaneous aggressive variation due to the uncontrolled movements. Thus, a time series analysis with the aid of Vector Auto Regression (VAR) model was used in order to estimate the queue length. Variables considered in this study were arrival flow rate, discharge flow rate, number of conflicts for 15 seconds time intervals as independent variables and queue length at the end of each 15 seconds as the dependent variable. For the modelling, the procedure of “Box-Jenkins” method was followed. After the confirmation of the variables are stationary, Cointegration check and Granger causality tests were done to check the cointegration between variables and the granger causality between variables. Then, VAR models were developed using 80% data from the total data set for both locations. The remaining 20% of the data set was used to validate the model using the MAE, MAPE, and RMSE error values between the actual and predicted queues. Among both models, 0.94 of higher R2 value and Durbin Watson value as 2 was obtained for the developed model using raw variables for Weliwita junction. Furthermore, the observed MAE, MAPE, and RMSE values for Weliwita model were 3,5 and 6%, respectively. Thus, the results of this study can be used to reduce traffic congestion while enhancing the safety of the users at un-signalized intersections in Sri Lanka. KEYWORDS: heterogeneous traffic, queue length, time series analysis, un-signalized intersections.
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Yuan, Li, and Xiaowei Liu. "Analysis of Left-Turn Mixed Traffic Flow Dynamics at Y-Shaped Signalized Intersections Using Cellular Automata." In 2024 International Conference on Smart Transportation Interdisciplinary Studies. SAE International, 2025. https://doi.org/10.4271/2025-01-7204.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Through the method of on-site video observation, this study divides the intersection area into three parts according to the road traffic characteristics of the Y-shaped signalized intersections, and at the same time obtains the relevant parameters. These parameters include the left-turn speed and traffic density of motor vehicles within both the internal and exit areas, the frequency of lane-changing and queuing behaviors of non-motorized vehicles in the internal area, and the left-turn speed and traffic density of non-motorized vehicles in both the internal and exit areas. The data extraction and analysis of the parameters provide strong data support for further analysis of the subsequent mixed traffic flow. A cellular automaton model is developed using the intersection’s exit area as the scenario. The exit area is divided into three lanes based on the queuing patterns of mixed traffic. Corresponding traffic rules are established according to the traffic density of motorized and non-motorized vehicles and the queuing behaviors of non-motorized vehicles in the exit area. Cyclists are categorized into three behavioral types based on their queuing patterns. Matlab software is used to analyze lane-specific traffic conditions under varying traffic densities, focusing on overall traffic conflicts. The analysis incorporates three key indicators: lane-changing frequency, vehicle conflict frequency, and vehicle delay, to evaluate the traffic flow across the three exit lanes under different traffic density levels. This analysis assists road managers in devising effective strategies to enhance the overall safety of mixed traffic flow at the exit of Y-shaped signalized intersections.&lt;/div&gt;&lt;/div&gt;
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Klobučar, Mirna, Aleksandra Deluka-Tibljaš, and Sanja Šurdonja. "Optimising signalised Intersection-roundabout distance: insights from microsimulation analysis." In 8th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2024. http://dx.doi.org/10.5592/co/cetra.2024.1735.

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While roundabouts have been proven to reduce traffic congestion and improve safety, integrating them into a network of signalised intersections can pose challenges for maintaining efficient traffic flow. This preliminary study examines acceptable signalised intersection-roundabout distance using microsimulation analysis. The VISSIM model was designed using field data from seven roundabouts in Rijeka, Croatia, and various traffic parameters, including vehicle delay, queue lengths, fuel and CO emissions, were analysed. The findings reveal that roundabout performance improves with lower peak-hour traffic, while closer proximity to signalised intersections worsens congestion. This research underscores the importance of careful planning and consideration of traffic dynamics in optimising roundabout functionality within urban road networks.
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Reports on the topic "Traffic intersections"

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Schluckebier, Kai. Intersections in contemporary traffic planning. Goethe-Universität, Institut für Humangeographie, 2021. http://dx.doi.org/10.21248/gups.58866.

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In Germany, traffic planning still follows the tradition of modernist urban planning theory from the beginning of the 1930s and car-oriented city planning during the post-war period in West Germany. From a methodological perspective, the prevailing narrative is that traffic can be abstracted and modelled under laboratory conditions (in vitro) as a spatial movement process of individual neutral particles. The use of these laboratory experiments in traffic planning cannot be understood as a neutral application of experimental results, assumed to be true, in a variety of spatial contexts. Rather, it is an active practice of staging traffic according to a particular social interactionist paradigm. According to this, traffic is staged through interventions in planning authorities as well as the practices of people on the streets. In order to describe these staging conduits, traffic is ontologically thought of as a social order that is continuously reproduced situationally through interactions, following Erving Goffman and Harold Garfinkel. To investigate the staging conduits empirically, an ethnographic-inspired field study was conducted at Willy-Brandt-Platz in Frankfurt am Main in May and June 2020. Through situational mapping and observation of social interactions (in situ), knowledge about the staging of social orders was generated. These empirical findings are further embedded in debates that discuss traffic not only as a staging but also as an enactment of certain realities. Understanding planning practice as a political enactment, through which realities are not only described but also made, makes it possible for us to think and design alternative realities.
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Perez-Cartagena, Rafael, and Andrzej Tarko. Predicting Traffic Conditions at Indiana Signalized Intersections. Purdue University, 2004. http://dx.doi.org/10.5703/1288284313294.

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Gayen, Saumabha, Enrique D. Saldivar-Carranza, Rahul Suryakant Sakhare, et al. Statewide Screening of Signalized Intersections for Capacity Improvements. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317755.

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Identification of congested traffic signals that require capital investment to increase capacity has historically been a time-consuming process. Signalized intersections with congestion were analyzed to see if they could be improved through retiming, and capital investment was only considered if retiming is deemed infeasible. Automated Traffic Signal Performance Measures (ATSPMs), and more recently, signal performance measures (SPMs) derived from connected vehicle (CV) trajectory data, have already been used to streamline the process of identifying signalized intersections that can be improved through retiming. However, to date, similar efforts have not been used to identify intersections that may benefit from capital investment. This study developed a CV-based methodology to assess whether signal retiming could potentially be feasible for a given signalized intersection using the split failure percentage (SF) SPM. For intersections where retiming is not feasible, a ranking metric of critical path split failing trajectory counts (SfnCP) was developed for prioritization by capacity improvement necessity. This metric was implemented statewide to over 2,300 INDOT-managed signalized intersections over a 17-month timespan to demonstrate the effectiveness, efficiency, and scalability of the proposed approach. Additionally, the utility of CV data for similar ranking of unsignalized intersections and road segments was also discussed. To aid INDOT engineers with rapid identification and prioritization of intersections that can be considered for capital investments, performance reports containing various attributes were proposed and generated.
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Tayeb, Shahab. Intelligent Blind Crossings for Suburban and Rural Intersections. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2024.2351.

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Blind intersections in suburban and rural areas pose significant safety challenges due to limited visibility and inadequate infrastructure. This project proposes an innovative solution leveraging the Internet of Vehicles (IoV) paradigm, utilizing connected and autonomous vehicles (CAVs) for seamless communication to enhance safety at these intersections. The research focuses on developing a specialized Road-Side Unit (RSU) system equipped with a Virtual Traffic Light Algorithm implemented on a Field-Programmable Gate Array (FPGA). Key stakeholders, including transportation authorities, vehicle manufacturers, and local communities, stand to benefit from this initiative. The RSU system acts as a critical infrastructure component, facilitating efficient intersection management and mitigating visibility challenges. Methodologies involve adapting the Virtual Traffic Light Algorithm, integrating it into the FPGA-based RSU system, and demonstrating RSU communication operability through software-defined radios. Additionally, a novel solar-powered system is designed for lightweight RSUs to enhance sustainability and energy efficiency. The project's findings indicate the feasibility and practicality of the proposed RSU solution in enhancing safety at blind intersections. Successful implementation of the Virtual Traffic Light Algorithm on the FPGA demonstrates its potential for real-world deployment. The operability demonstration of RSU communication validates the effectiveness of the proposed communication system. Overall, this research contributes to advancing safety measures in transportation infrastructure, with potential implications for future urban planning and policy development.
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Ukkusuri, Satish, Lu Ling, Tho V. Le, and Wenbo Zhang. Performance of Right-Turn Lane Designs at Intersections. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317277.

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Right-turn lane (RTL) crashes are among the most key contributors to intersection crashes in the US. Different right turn lanes based on their design, traffic volume, and location have varying levels of crash risk. Therefore, engineers and researchers have been looking for alternative ways to improve the safety and operations for right-turn traffic. This study investigates the traffic safety performance of the RTL in Indiana state based on multi-sources, including official crash reports, official database, and field study. To understand the RTL crashes' influencing factors, we introduce a random effect negative binomial model and log-linear model to estimate the impact of influencing factors on the crash frequency and severity and adopt the robustness test to verify the reliability of estimations. In addition to the environmental factors, spatial and temporal factors, intersection, and RTL geometric factors, we propose build environment factors such as the RTL geometrics and intersection characteristics to address the endogeneity issues, which is rarely addressed in the accident-related research literature. Last, we develop a case study with the help of the Indiana Department of Transportation (INDOT). The empirical analyses indicate that RTL crash frequency and severity is mainly influenced by turn radius, traffic control, and other intersection related factors such as right-turn type and speed limit, channelized type, and AADT, acceleration lane and AADT. In particular, the effects of these factors are different among counties and right turn lane roadway types.
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Ringhand, Madlen, Maximilian Bäumler, Christian Siebke, Marcus Mai, and Felix Elrod. Report on validation of the stochastic traffic simulation (Part A). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.242.

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This document is intended to give an overview of the human subject study in a driving simulator that was conducted by the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD) to provide the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD with the necessary input for the validation of a stochastic traffic simulation, especially for the parameterization, consolidation, and validation of driver behaviour models. VPSY planned, conducted, and analysed a driving simulator study. The main purpose of the study was to analyse driving behaviour and gaze data at intersections in urban areas. Based on relevant literature, a simulated driving environment was created, in which a sample of drivers passed a variety of intersections. Considering different driver states, driving tasks, and traffic situations, the collected data provide detailed information about human gaze and driving behaviour when approaching and crossing intersections. The collected data was transferred to LKT for the development of the stochastic traffic simulation.
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Cao, Siyang, Yao-jan Wu, and Feng Jin. Development of Intelligent Multimodal Traffic Monitoring using Radar Sensor at Intersections. Transportation Research and Education Center (TREC), 2021. http://dx.doi.org/10.15760/trec.268.

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Saldivar-Carranza, Enrique, Howell Li, Jijo K. Mathew, Saumabha Gayen, Haydn Malackowski, and Darcy M. Bullock. Trajectory-Based Arterial Traffic Signal Performance Measures Reports. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317633.

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Traffic signal performance measures based on connected vehicle (CV) trajectory data can provide practitioners actionable information on the operational state of their systems. A visualization framework that can enable agencies to quickly assess arterial-level performance by time-of-day (TOD) to identify challenges and opportunities has been recently developed. The framework provides information on four relevant signal performance measures over a corridor, including traditional Highway Capacity Manual (HCM) level of service (LOS), arrivals on green (AOG), split failures (SF), and downstream blockage (DSB). This document uses the proposed framework to provide 58 arterial-level performance reports analyzing 571 unique signalized intersections on 42 corridors in 14 different states. Results are estimated from over 18,000,000 vehicle trajectories and 328,000,000 GPS points. Since the reporting approach can provide up to 3,072 performance data points per intersection, this manuscript provides almost 2 million measures for all the analyzed locations.
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Gowda, Manish, Walt Fehr, Andrew Balmos, et al. Economical Acquisition of Intersection Data to Facilitate CAV Operations Phase II – Implementation. Purdue University, 2024. https://doi.org/10.5703/1288284317851.

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Cost-effective collection and distribution of intersection data are needed to facilitate traffic operations at intersections in the HDV era and particularly, in the prospective era of CAVs. Existing methods are time consuming and costly. Phase I of this research (executed under CCAT Project Nr. 71) developed a cost-effective intersection data collection and distribution device for this purpose. In Phase II of this research, the device prototype was bench tested in Lansing and field tested at Owosso. It was confirmed that the device successfully facilitates SPaT and MAP data collection and dissimulation to mobile devices. These deployments provided evidence that the device provides public agencies a way to drastically reduce the cost of data collection at their intersections. The technological innovation is that the device provided a much simpler and effective way to collect intersection data. Overall, the expectation is that reducing the costs of infrastructure data delivery will ultimately encourage more rapid deployment of infrastructure data sources. That, in turn, is expected to encourage the entire connected intelligent transportation ecosystem to advance when the potential benefits of the system become more widely available. It is anticipated that could be the start of a rapidly expanding deployment on a much larger scale.
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Tarko, Andrew P., Qiming Guo, and Raul Pineda-Mendez. Using Emerging and Extraordinary Data Sources to Improve Traffic Safety. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317283.

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The current safety management program in Indiana uses a method based on aggregate crash data for conditions averaged over several-year periods with consideration of only major roadway features. This approach does not analyze the risk of crashes potentially affected by time-dependent conditions such as traffic control, operations, weather and their interaction with road geometry. With the rapid development of data collection techniques, time-dependent data have emerged, some of which have become available for safety management. This project investigated the feasibility of using emerging and existing data sources to supplement the current safety management practices in Indiana and performed a comprehensive evaluation of the quality of the new data sources and their relevance to traffic safety analysis. In two case studies, time-dependent data were acquired and integrated to estimate their effects on the hourly probability of crash and its severity on two selected types of roads: (1) rural freeways and (2) signalized intersections. The results indicate a considerable connection between hourly traffic volume, average speeds, and weather conditions on the hourly probability of crash and its severity. Although some roadway geometric features were found to affect safety, the lack of turning volume data at intersections led to some counterintuitive results. Improvements have been identified to be implemented in the next phase of the project to eliminate these undesirable results.
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