Relevant bibliographies by topics / Uncontrolled intersection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Uncontrolled intersection'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Uncontrolled intersection"

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Utkirov, Shokirxuja, Erkinjon Abdusamatov, and Baxtiyor Raxmanov. "ORGANIZATION OF TRAFFIC AT UNCONTROLLED INTERSECTIONS." Eurasian Journal of Academic Research 03, no. 02 (2023): 57–65. http://dx.doi.org/10.37547/ejar-v03-i02-p2-53.

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This paper presents a study of drivers' gap acceptance behavior at an uncontrolled intersection. A 4-leg uncontrolled intersection located in a semi-urban area of Ahmedabad, Gujarat was selected to study the gap acceptance behavior of drivers. Video recording technique was adopted for data collection and analysis. Various available methods are used to calculate the critical gap for minor road passing and right turn movements. Gaps are analyzed for three different vehicle types. A comparison is made between the various existing methods of critical gap detection and their critical analysis is presented. The result shows that except for the behavior elimination approach, all other methods cannot provide the real scenario of the critical gap under mixed traffic conditions because all these methods are developed for homogeneous traffic conditions.
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Krivda, Vladislav, Ivana Mahdalova, Jan Petru, and Vaclav Skvain. "Capacity Assessment of a Cross Intersection with Cranked Priority." Advanced Materials Research 1065-1069 (December 2014): 3366–71. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.3366.

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The article deals with an issue of uncontrolled cross intersections with cranked priority. There is introduced the procedure of capacity analysis of classical intersection with normal priority according to the standards used in Czech Republic. It also described the proposal of capacity analysis of cross intersection with cranked priority.
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Lubentsov, A., and V. Varlahov. "TECHNICAL ANALYSIS OF VEHICLE DRIVERS’ ACTIONS AT UNCONTROLLED INTERSECTIONS WHILE TURNING LEFT." Theory and Practice of Forensic Science and Criminalistics 21, no. 1 (2020): 411–21. http://dx.doi.org/10.32353/khrife.1.2020_28.

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The questions which arise at experts while carrying out road accident analysis (forensic expert examination) during technical analysis of vehicle drivers’ actions at uncontrolled intersections, in cases when turning left at a separating lawn line a traffic sign “Yield” is installed, and a traffic sign “Priority Road” is installed at the intersection facing the direction of vehicle movement which turns left, are considered. When technically evaluating drivers actions at an uncontrolled intersection in accordance with the requirements of Traffic Rules of Ukraine, forensic experts who make up a forensic report on the results of road accident analysis wonder: “How to evaluate the driver’s actions who performs a turning maneuver to the left at uncontrolled intersection, when a traffic sign ‘Yield’ is installed at a separating lawn line while turning left, and a traffic sign “Priority Road” is installed at the intersection facing the direction of vehicle movement where the vehicle turns left. Technical analysis of the driver actions who turns left at an uncontrolled intersection should be carried out in accordance with the requirements of paragraphs 10.1 and 16.13 of Traffic Rules of Ukraine. This is due to the fact that the presence of a traffic sign 2.3 “Priority Road” indicates the fact that a driver is on the priority road, and must give way to vehicles moving in the opposite direction heading straight or right when making a left turn.
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Jeong, Yonghwan. "Stochastic Model-Predictive Control with Uncertainty Estimation for Autonomous Driving at Uncontrolled Intersections." Applied Sciences 11, no. 20 (2021): 9397. http://dx.doi.org/10.3390/app11209397.

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This paper presents an uncontrolled intersection-passing algorithm with an integrated approach of stochastic model-predictive control and prediction uncertainty estimation for autonomous vehicles. The proposed algorithm is designed to utilize information from sensors mounted on the autonomous vehicle and high-definition intersection maps. The proposed algorithm is composed of two modules, namely target state prediction and a motion planner. The target state prediction module has predicted the future behavior of intersection-approaching vehicles based on human driving data. The recursive covariance estimator has been utilized to estimate the prediction uncertainty for each approaching vehicle. The desired driving mode has been determined based on the uncontrolled intersection theory. The estimated prediction uncertainty has been used to define the probability distribution of the stochastic model-predictive controller to cope with time-varying uncertainty characteristics of the perception algorithm. The constrained stochastic model-predictive controller based on safety indexes has determined the desired longitudinal acceleration. The proposed robust intersection-passing algorithm has been evaluated via computer simulation based on Monte Carlo simulation with a sensor model. The simulation results showed that the proposed algorithm guarantees the minimum safety constraints and improves the ride comfort at uncontrolled intersections by estimating the uncertainty of sensors and prediction.
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Samarasekara, G. N., and K. S. S. Perera. "Estimation of a Critical Gap/ Lag in Uncontrolled Intersections in Sri Lanka." Journal of South Asian Logistics and Transport 4, no. 2 (2024): 25–39. http://dx.doi.org/10.4038/jsalt.v4i2.85.

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The critical gap/lag value for an uncontrolled intersection is an important parameter in estimating highway traffic capacity and developing micro stimulations of traffic movements. In manoeuvring an intersection, drivers decide to accept or reject the gap, based on several considerations. However, only a few studies have been carried out to estimate the critical gap on Sri Lankan roads; meanwhile, estimates of external factors are rare. This study found the influence of external factors on drivers’ gap acceptance decision and estimated the critical gap/ lag values using the Binary Logistic model. Analysis considered 4,233 gap acceptance decisions taken by drivers on minor roads. These were collected at three four-way and two three-way intersections and analysed across three vehicle categories: Motorcycle, Threewheeler, and Car/Van. Among the external factors studied, vehicle type, intersection type, size of the available gap, and type of traffic manoeuvre were found to have a significant influence on gap acceptance. Critical gap/lag values found in this study can be used for capacity estimation of three-way and four-way intersections in Sri Lanka.
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Abhigna, Doddapaneni, Dipak P. Brahmankar, and Kodavanti Venkata Raghavendra Ravishankar. "Multi Vehicle-Type Right Turning Gap-Acceptance and Capacity Analysis at Uncontrolled Urban Intersections." Periodica Polytechnica Transportation Engineering 48, no. 2 (2018): 99–108. http://dx.doi.org/10.3311/pptr.9744.

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Intersections are the critical zones where conflicting, merging and diverging movements influence the intersection capacity. Uncontrolled intersections in particular pose dangerous situations to vehicular traffic. During peak vehicular flow, the unpredictable crossing behavior of minor stream vehicles induces delay and reduces the capacity of the intersection. Capacity at uncontrolled intersections is typically measured either by gap acceptance method, empirical regression approaches and conflict technique. Gap acceptance is an important characteristic for analyzing uncontrolled intersections. The behavior of different vehicle types and gap of subject vehicle type from minor street taking right turn to merge with major traffic stream is analyzed using gap acceptance method. The objective of the current study is to analyze the effect of major stream vehicle type combinations on the minor stream vehicle gap-acceptance behavior and to determine the capacity of the minor stream taking into account the influence of the right turning vehicles. The capacity of minor stream calculated using Highway Capacity Manual (HCM) 2010, Luttenin’s model, and Tanner’s model are compared. It is observed that two wheelers are more aggressive than three wheelers for most of the major stream vehicular combinations observed in this study.
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Arathi, A. R. "Analysis of Critical Gap and Capacity at Skewed Uncontrolled Intersections." European Transport/Trasporti Europei, no. 93 (June 2023): 1–16. http://dx.doi.org/10.48295/et.2023.93.6.

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Critical gaps and capacity of movements at uncontrolled intersections are influenced by intersection geometry, especially in mixed traffic conditions. However, existing models to compute the capacity of uncontrolled base intersections are only suitable for intersections with 00 to 100 skew angles. This study aims to bridge the gap by evaluating the effect of skew angle on the critical gap and capacity of uncontrolled intersections. The critical gap models are developed for different vehicle types. The capacity of uncontrolled intersections is determined for different skew angles (00 to 270) using simulation and Indo-HCM models. The comparison reveals that the Indo-HCM model over-predicts the capacities. Thus, new capacity models are proposed, and it is observed that the capacity varies as a quadratic function of the skew angle, where the constant indicates base capacity. This study also provides the adjustment factors for Indo-HCM capacity models to deduce the capacity of any skew-angled intersections.
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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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Jamal, Arshad, Muhammad Ijaz, Meshal Almosageah, et al. "Implementing the Maximum Likelihood Method for Critical Gap Estimation under Heterogeneous Traffic Conditions." Sustainability 14, no. 23 (2022): 15888. http://dx.doi.org/10.3390/su142315888.

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Gap acceptance analysis is crucial for determining capacity and delay at uncontrolled intersections. The probability of a driver accepting an adequate gap changes over time, and in different intersection types and traffic circumstances. The majority of previous studies in this regard have assumed homogeneous traffic conditions, and applying them directly to heterogeneous traffic conditions may produce biased results. Moreover, driver behavior concerning critical gap acceptance or rejection in traffic also varies from one location to another. The current research focused on the estimation of critical gaps considering different vehicle types (cars, and two- and three-wheelers) under heterogenous traffic conditions at uncontrolled crossings in the city of Peshawar, Pakistan. A four-legged uncontrolled intersection in the study area was used to investigate drivers’ gap acceptance behavior. The gaps were investigated for various vehicle types: two-wheelers, three-wheelers, and cars. For data collection, a video recording method was used, and Avidemux video editing software was used for data investigation. The study investigated the applicability of the maximum likelihood (MLM) method to analyzing a vehicle’s critical gap. MLM estimation results indicate that the essential critical gap values for car drivers are in the range from 7.45 to 4.6 s; for two-wheelers, the critical gap was in the range from 6.78 to 4.7 s; and for three-wheelers, the values were in the range from 6.3 to 4.9 s. At an uncontrolled intersection, the proposed method’s results can assist in distinguishing between different road user groups. This study’s findings are intended to be useful to both researchers and practitioners, particularly in developing countries with similar traffic patterns and vehicle adherence patterns at unsignalized intersections.
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Utkirov, Shokirxuja Shavkat oʻgʻli Abdusamatov Erkinjon Raxmanov Baxtiyor. "ORGANIZATION OF TRAFFIC AT UNCONTROLLED INTERSECTIONS." EURASIAN JOURNAL OF ACADEMIC RESEARCH 3, no. 2 (2023): 57–65. https://doi.org/10.5281/zenodo.7631956.

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This paper presents a study of drivers' gap acceptance behavior at an uncontrolled intersection. A 4-leg uncontrolled intersection located in a semi-urban area of Ahmedabad, Gujarat was selected to study the gap acceptance behavior of drivers. Video recording technique was adopted for data collection and analysis. Various available methods are used to calculate the critical gap for minor road passing and right turn movements. Gaps are analyzed for three different vehicle types. A comparison is made between the various existing methods of critical gap detection and their critical analysis is presented. The result shows that except for the behavior elimination approach, all other methods cannot provide the real scenario of the critical gap under mixed traffic conditions because all these methods are developed for homogeneous traffic conditions.
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Dissertations / Theses on the topic "Uncontrolled intersection"

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Soukup, Tomáš. "Řešení křižovatky 1. máje a Palackého v Moravských Budějovicích." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-409825.

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This thesis deals with the solution of the crossroads of the 1st Máje and Palackého in Moravské Budějovice. Part of the work is security inspection, calculation of uncontrolled intersection capacity, traffic survey. The findings are applied to possible solutions of crossing of the 1st Máje and Palackého in Moravské Budějovice.
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Elhenawy, Mohammed Mamdouh Zakaria. "Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/73790.

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In this dissertation, new algorithms that address three traffic problems of major importance are developed. First automatic identification and prediction algorithms are developed to identify and predict the occurrence of traffic congestion. The identification algorithms concoct a model to identify speed thresholds by exploiting historical spatiotemporal speed matrices. We employ the speed model to define a cutoff speed separating free-flow from congested traffic. We further enhance our algorithm by utilizing weather and visibility data. To our knowledge, we are the first to include weather and visibility variables in formulating an automatic congestion identification model. We also approach the congestion prediction problem by adopting an algorithm which employs Adaptive Boosting machine learning classifiers again something novel that has not been done previously. The algorithm is promising where it resulted in a true positive rate slightly higher than 0.99 and false positive rate less than 0.001. We next address the issue of travel time modeling. We propose algorithms to model travel time using various machine learning and statistical learning techniques. We obtain travel time models by employing the historical spatiotemporal speed matrices in conjunction with our algorithms. The algorithms yield pertinent information regarding travel time reliability and prediction of travel times. Our proposed algorithms give better predictions compared to the state of practice algorithms. Finally we consider driver safety at signalized intersections and uncontrolled intersections in a connected vehicles environment. For signalized intersections, we exploit datasets collected from four controlled experiments to model the stop-run behavior of the driver at the onset of the yellow indicator for various roadway surface conditions and multiple vehicle types. We further propose a new variable (predictor) related to driver aggressiveness which we estimate by monitoring how drivers respond to yellow indications. The performance of the stop-run models shows improvements after adding the new aggressiveness predictor. The proposed models are practical and easy to implement in advanced driver assistance systems. For uncontrolled intersections, we present a game theory based algorithm that models the intersection as a chicken game to solve the conflicts between vehicles crossing the intersection. The simulation results show a 49% saving in travel time on average relative to a stop control when the vehicles obey the Nash equilibrium of the game.<br>Ph. D.
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Mahmoud, Abdallah Abdelrahman Hassan. "Cooperative Automated Vehicle Movement Optimization at Uncontrolled Intersections using Distributed Multi-Agent System Modeling." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/84896.

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Optimizing connected automated vehicle movements through roadway intersections is a challenging problem. Traditional traffic control strategies, such as traffic signals are not optimal, especially for heavy traffic. Alternatively, centralized automated vehicle control strategies are costly and not scalable given that the ability of a central controller to track and schedule the movement of hundreds of vehicles in real-time is highly questionable. In this research, a series of fully distributed heuristic algorithms are proposed where vehicles in the vicinity of an intersection continuously cooperate with each other to develop a schedule that allows them to safely proceed through the intersection while incurring minimum delays. An algorithm is proposed for the case of an isolated intersection then a number of algorithms are proposed for a network of intersections where neighboring intersections communicate directly or indirectly to help the distributed control at each intersection makes a better estimation of traffic in the whole network. An algorithm based on the Godunov scheme outperformed optimized signalized control. The simulated experiments show significant reductions in the average delay. The base algorithm is successfully added to the INTEGRATION micro-simulation model and the results demonstrate improvements in delay, fuel consumption, and emissions when compared to roundabout, signalized, and stop sign controlled intersections. The study also shows the capability of the proposed technique to favor emergency vehicles, producing significant increases in mobility with minimum delays to the other vehicles in the network.<br>Ph. D.
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詹樹雄. "A Study of Driver Awareness of Right-of-Way Priority at Uncontrolled Intersection." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/2wur46.

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Patro, Sharmili. "Modelling Automobile LOS of Uncontrolled Unsignalized Intersections in Urban Indian context." Thesis, 2018. http://ethesis.nitrkl.ac.in/9571/1/2018_MT_216CE3068_SPatro_Modelling.pdf.

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This examination exhibits the assessment of Automobile Level of Service (ALOS) at uncontrolled unsignalized crossing points utilizing Genetic Algorithm (GA) and Functional Link Artificial Neural Network (FLANN) delicate processing methods. Fast urbanization development in India prompts developing need of transportation offices, which additionally prompts quick augmentation in rush hour gridlock volume. Uncontrolled unsignalized crossing points are, where movement conflictions happen with considerably more frequencies due to the entangled collaborations among the vehicles. Mechanized vehicles are the most usually utilized transportation offices because of its versatility, freedom of movement and simple mobility. Along these lines, there is an incredible requirement for assessing Level of Service at uncontrolled unsignalized crossing points from the viewpoint of car clients. Elements influencing the general execution of uncontrolled unsignalized crossing points are distinguished from writing study. Information accumulation is done from the urban communities having most noteworthy populace and overwhelming business segments. Hyderabad, Kolkata and Rourkela urban communities are chosen for information gathering reason. Info Variables required for execution appraisal of uncontrolled unsignalized crossing points are separated physically from the video cuts taken at chosen locales. Centrality trial of information factors is finished utilizing Pearson co-connection examination. Huge factors acquired are utilized for ALOS demonstrate improvement of uncontrolled unsignalized convergences. Asphalt Condition Index (PCI), Presence of Median (PoM),Critical Gap (CG), Land Use design (LU), Encounters (En)and Service Delay (SD) are observed to be the most huge info factors for the advancement of ALOS show utilizing Genetic Algorithm (GA) and Functional Link Artificial Neural Network (FLANN) strategies Results acquired from GA demonstrating gave a most astounding R2 estimation of 0.937. Positioning of created models is finished by Modified Rank Index factor and it is discovered that, GA gives great outcomes to anticipate ALOS scores than customary FLANN technique. Affectability examination is done to discover the impact of information factors on the yield variable (i.e. ALOSunsig) and it is inferred that, Pavement Condition Index (PCI), Service Delay (SD) and Critical Gap (CG) have huge effect on execution appraisal of uncontrolled unsignalized crossing points. The results of this examination would ideally help the transportation organizers and designers to evaluate the general execution of uncontrolled unsignalized crossing points and will help in taking effective choices for the better administration of vehicle activity.
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Books on the topic "Uncontrolled intersection"

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Abdelghany, Ahmed F. Above-ground actuated yellow crosswalk lights at uncontrolled pedestrian crossings. Alaska Dept. of Transportation and Public Facilities, Research and Technology Transfer, 2005.

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Berridge, Willow, Alex de Waal, and Justin Lynch. Sudan's Unfinished Democracy. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197657546.001.0001.

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Abstract This book tells the story of the Sudanese revolution of 2019; of how it succeeded in bringing down the long-standing rule of President Omar al-Bashir; and of the troubled transitional civilian-led government that was installed in his place. It sets the scrupulously non-violent uprising in its historical context, showing how the protesters drew upon the precedents of earlier civic revolutions and adapted their practices to the challenges of the al-Bashir regime. The book also explores how that regime was brought to its knees through its inability to manage the intersecting economic and political crises caused by the secession of South Sudan and the loss of oil revenue, alongside the uncontrolled expansion of a sprawling security apparatus. The civilian protesters called for--and expected--a total transformation of Sudanese politics, but they found themselves grappling with a still-dominant cabal of generals, who had powerful regional backers and a strong hold over the economy. Internally divided, and faced with a deepening economic crisis, the civilian government led by Prime Minister Abdalla Hamdok has found itself in office, but with less and less real power, unable to change the conduct of political business as usual.
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Book chapters on the topic "Uncontrolled intersection"

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Surya, C. S., and S. Archana. "Study on Pedestrian Crossing Behaviour at Uncontrolled Intersection." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6229-7_45.

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Mahajan, Chetan, Prikana Das, and Dungar Singh. "Pedestrian Movement at an Urban Uncontrolled Intersection: A Case Study of Bhopal." In Proceedings of the Sixth International Conference of Transportation Research Group of India. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3494-0_18.

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Bhatt, Khushbu, and Jiten Shah. "A Statistical Approach to Estimate Gap Acceptance Parameter at Three-Legged Uncontrolled Intersection." In Transportation Research. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6090-3_42.

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Bhatt, Khushbu, and Jiten Shah. "Driver’s Risk Compelling Behavior for Crossing Conflict Area at Three-Legged Uncontrolled Intersection." In Studies in Infrastructure and Control. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6936-1_4.

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Srivastava, Adarsh Raj, Agnivesh Pani, Bandhan Bandhu Majumdar, and Prasanta Kumar Sahu. "Development of Speed Management Measures at Uncontrolled Intersection; Case Study of Hyderabad, India." In Lecture Notes in Civil Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8259-9_21.

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Niveditha, S. P., and K. M. Mallesha. "Analysis of Pedestrian Crossing Behavior at Uncontrolled Intersections." In Lecture Notes in Civil Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5195-6_32.

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Mavrogiannis, Christoforos, Jonathan A. DeCastro, and Siddhartha Srinivasa. "Implicit Multiagent Coordination at Uncontrolled Intersections via Topological Braids." In Algorithmic Foundations of Robotics XV. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21090-7_22.

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Gupta, Tanvi, Siddhartha Rokade, and Pravesh Gautam. "Safety Assessment of Urban Uncontrolled Intersections Using Surrogate Safety Measures." In Proceedings of the Sixth International Conference of Transportation Research Group of India. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4204-4_11.

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Sreevishnu, Unnikrishnan, A. R. Arathi, and M. Harikrishna. "Influence of Skew Angle on the Gap Parameters at Uncontrolled Intersections." In Proceedings of the Sixth International Conference of Transportation Research Group of India. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3494-0_3.

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Datta, Suprabeet. "Assessment of Uncontrolled Intersections Through Calibration of VISSIM for Indian Traffic Conditions." In Lecture Notes in Networks and Systems. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3953-9_31.

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Conference papers on the topic "Uncontrolled intersection"

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Gholamhosseinian, Ashkan, and Jochen Seitz. "Poster: Collision Resolution for an Uncontrolled Intersection Using Vehicular Communication." In 2024 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2024. http://dx.doi.org/10.1109/iscc61673.2024.10733634.

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Shao, Wen, Xuedong Yan, and Yunwei Li. "Optimization of Sight Clearance Area Design at Uncontrolled Intersection." In 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/mecae-18.2018.60.

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Ahrems, Janeks. "Collision warning algorithm for passage of an uncontrolled road intersection." In 2014 14th Biennial Baltic Electronic Conference (BEC). IEEE, 2014. http://dx.doi.org/10.1109/bec.2014.7320553.

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Guangquan Lu, Lumiao Li, Yunpeng Wang, Ran Zhang, Zewen Bao, and Haichong Chen. "A rule based control algorithm of connected vehicles in uncontrolled intersection." In 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2014. http://dx.doi.org/10.1109/itsc.2014.6957676.

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Das, Soumyadip, Kunal Kumar Nandan, and Md Meer Jouhar Ali. "Study of Traffic Behavior at an Uncontrolled Intersection in Durgapur, India." In 2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA). IEEE, 2020. http://dx.doi.org/10.1109/ncetstea48365.2020.9119924.

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Ahn, Heejin, Alessandro Colombo, and Domitilla Del Vecchio. "Supervisory control for intersection collision avoidance in the presence of uncontrolled vehicles." In 2014 American Control Conference - ACC 2014. IEEE, 2014. http://dx.doi.org/10.1109/acc.2014.6859163.

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Sun, Xianglong, and Jian Lu. "Study on the pedestrian-vehicle safety based on traffic conflict at uncontrolled intersection." In 2011 International Conference on Electric Technology and Civil Engineering (ICETCE). IEEE, 2011. http://dx.doi.org/10.1109/icetce.2011.5776309.

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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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Kitazaki, Satoshi, and Nathan J. Myhre. "Effects of Non-Verbal Communication Cues on Decisions and Confidence of Drivers at an Uncontrolled Intersection." In Driving Assessment Conference. University of Iowa, 2015. http://dx.doi.org/10.17077/drivingassessment.1559.

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Herdic, Peter C., Amr M. Baz, and Brian H. Houston. "Structural Acoustics and Active Constrained Layer Damping of a Full Scale Fuselage Section: An Experimental Approach." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0497.

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Abstract The mechanisms and underlying structural acoustics associated with the response of a full scale aircraft fuselage section are examined in its uncontrolled state and with the application of Active Constrained Layer Damping (ACLD) treatment to the structure. In these experiments, active structural acoustic control is demonstrated, where both the surface vibration and interior acoustic pressure are attenuated. The uncontrolled response is first studied experimentally under three different physical forcing functions by use of high spatially sampled surface velocity and interior pressure measurements over a band from 0–1000 Hz. These results indicate rich modal excitation of the fuselage and interior by a point force applied at a frame/stringer intersection of the structure. Real time active control experiments using simple surface minimization control laws are performed under this excitation, yielding good performance.
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