Relevant bibliographies by topics / Adaptive Traffic Signal Timer

Contents

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

Academic literature on the topic 'Adaptive Traffic Signal Timer'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Adaptive Traffic Signal Timer.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Adaptive Traffic Signal Timer"

1

P, Joyson Silva, Vignesh R, Sukumar Binu, and Kumar Nithish. "Adaptive Traffic Signal Timer for A Signal in Chennai Metropolitan City Using Python and OpenCV." Indian Journal of Science and Technology 16, no. 13 (2023): 1007–13. https://doi.org/10.17485/IJST/v16i13.2131.

Full text
Abstract:
Abstract <strong>Background:</strong>&nbsp;The current traffic control system in India&rsquo;s metropolises is ineffective because of the randomization of traffic density patterns throughout the day. For a predetermined period of time, the traffic signal timers switch traffic&rsquo;s direction. Vehicles must therefore wait for a long time even when there is little traffic.&nbsp;<strong>Objectives:</strong>&nbsp;To continuously adjust the traffic signal timer based on the varying real-time traffic density and to significantly lessen traffic congestion.&nbsp;<strong>Methods:</strong>&nbsp;An ada
APA, Harvard, Vancouver, ISO, and other styles
2

Silva, P. Joyson, R. Vignesh, Binu Sukumar, and Nithish Kumar. "Adaptive Traffic Signal Timer for A Signal in Chennai Metropolitan City Using Python and OpenCV." Indian Journal Of Science And Technology 16, no. 13 (2023): 1007–13. http://dx.doi.org/10.17485/ijst/v16i13.2131.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sowmya, B. "Adaptive Traffic Management System using CNN (YOLO)." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3726–32. http://dx.doi.org/10.22214/ijraset.2021.35768.

Full text
Abstract:
The huge number of vehicles on the roadways is making congestion a significant problem. The line longitudinal vehicle waiting to be processed at the crossroads increases quickly, and the traditionally used traffic signals are not able to program it properly. Manual traffic monitoring may be an onerous job since a number of cameras are deployed over the network in traffic management centers. The proactive decision-making of human operators, which would decrease the effect of events and recurring road congestion, might contribute to the easing of the strain of automation.The traffic control fram
APA, Harvard, Vancouver, ISO, and other styles
4

G, Dr Kanjana. "Adaptive Traffic Management System Using Reinforcement Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 1387–92. https://doi.org/10.22214/ijraset.2025.67570.

Full text
Abstract:
Traffic congestion is a significant issue in urban areas, leading to increased travel delays, fuel consumption, and environmental pollution. Traditional traffic management systems, which use fixed-timer signals, rule-based controls, manual intervention by traffic police, and electronic sensor-based methods, often struggle to adapt to dynamic traffic conditions. To address these challenges an Adaptive Traffic Management System (ATMS) using Reinforcement Learning (RL) is proposed to optimize signal timings and improve traffic flow. The system dynamically adjusts traffic signal timings based on r
APA, Harvard, Vancouver, ISO, and other styles
5

Matei, Lucian, Ilie Dumitru, Laurențiu Racilă, and Matei Vînatoru. "Adaptive Traffic Signal Control on a National Road Intersection." Applied Mechanics and Materials 822 (January 2016): 455–60. http://dx.doi.org/10.4028/www.scientific.net/amm.822.455.

Full text
Abstract:
Adaptive traffic signal control is the process by which the timing of a traffic signal is continuously adjusted based on the changing arrival patterns of vehicles at an intersection, usually with the goal of optimizing a given measure of effectiveness. In this paper a traffic signal program is developed in which the characteristics of a traffic signal cycle are optimized at the conclusion of every phase based on the arrival times of vehicles to an intersection, using stopped delay as the measure of effectiveness. The methodology which leads to the signal plan is shown to provide improvement in
APA, Harvard, Vancouver, ISO, and other styles
6

Shelby, Steven G., Darcy M. Bullock, and Douglas Gettman. "Resonant Cycles in Traffic Signal Control." Transportation Research Record: Journal of the Transportation Research Board 1925, no. 1 (2005): 215–26. http://dx.doi.org/10.1177/0361198105192500122.

Full text
Abstract:
The potential benefits of using resonant cycle times in traffic signal control on an arterial are investigated. Resonant cycles are cycle lengths that result in good arterial progression over a range of traffic flows. The notion of resonant cycle times contrasts with the prevalent adaptive control practice of setting the arterial cycle length in proportion to flow levels at the most congested intersection on the arterial. This research was motivated by the development of appropriate adaptive algorithms for closed-loop system control in the FHWA ACS-Lite project. Simulation experiments with TRA
APA, Harvard, Vancouver, ISO, and other styles
7

M, Prabu. "Traffic Vision: AI-Powered Traffic Monitoring System and Signal Optimization." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2708–15. https://doi.org/10.22214/ijraset.2025.68829.

Full text
Abstract:
This paper is focused on Traffic Vision, an integrated AI-powered traffic monitoring and management system built on computer vision, machine learning, and adaptive control strategies to optimize urban traffic flows. The major functions of the system include real-time processing of video feeds for vehicle, pedestrian, emergency vehicle, and accident detection and tracking, as well as traffic density and flow parameters. A new adaptive traffic signal control algorithm employs this information to dynamically adapt traffic light timings according to current conditions. Experimental results show a
APA, Harvard, Vancouver, ISO, and other styles
8

Mishra, S., D. Bhattacharya, A. Gupta, and V. R. Singh. "ADAPTIVE TRAFFIC LIGHT CYCLE TIME CONTROLLER USING MICROCONTROLLERS AND CROWDSOURCE DATA OF GOOGLE APIs FOR DEVELOPING COUNTRIES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W7 (September 20, 2018): 83–90. http://dx.doi.org/10.5194/isprs-annals-iv-4-w7-83-2018.

Full text
Abstract:
&lt;p&gt;&lt;strong&gt;Abstract.&lt;/strong&gt; Controlling of traffic signals optimally helps in avoiding traffic jams as vehicle volume density changes on temporally short and spatially small scales. Nowadays, due to embedded system development with the rising standards of computational technology, condense electronics boards as well as software packages, system can be developed for controlling cycle time in real time. At present, the traffic control systems in India lack intelligence and act as an open-loop control system, with no feedback or sensing network, due to the high costs involved.
APA, Harvard, Vancouver, ISO, and other styles
9

Pranevičius, Henrikas, and Tadas Kraujalis. "KNOWLEDGE BASED TRAFFIC SIGNAL CONTROL MODEL FOR SIGNALIZED INTERSECTION." TRANSPORT 27, no. 3 (2012): 263–67. http://dx.doi.org/10.3846/16484142.2012.719545.

Full text
Abstract:
Intelligent transportation systems have received increasing attention in academy and industry. Being able to handle uncertainties and complexity, expert systems are applied in vast areas of real life including intelligent transportation systems. This paper presents a traffic signal control method based on expert knowledge for an isolated signalized intersection. The proposed method has the adaptive signal timing ability to adjust its signal timing in response to changing traffic conditions. Based on the traffic conditions, the system determines to extend or terminate the current green signal g
APA, Harvard, Vancouver, ISO, and other styles
10

Mathiane, Malose John, Chunling Tu, Pius Adewale, and Mukatshung Nawej. "A Vehicle Density Estimation Traffic Light Control System Using a Two-Dimensional Convolution Neural Network." Vehicles 5, no. 4 (2023): 1844–62. http://dx.doi.org/10.3390/vehicles5040099.

Full text
Abstract:
One of the world’s challenges is the amount of traffic on the roads. Waiting for the green light is a major cause of traffic congestion. Low throughput rates and eventual congestion come from many traffic signals that are hard coded, irrespective of the volume of the amount of traffic. Instead of depending on predefined time intervals, it is essential to build a traffic signal control system that can react to changing vehicle densities. Emergency vehicles, like ambulances, must be given priority at the intersection so as not to spend more time at the traffic light. Computer vision techniques c
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Adaptive Traffic Signal Timer"

1

Shelby, Steven Gebhart. "Design and evaluation of real-time adaptive traffic signal control algorithms." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/279933.

Full text
Abstract:
This dissertation investigates methods of real-time adaptive traffic signal control in the context of single isolated intersection and coordinated urban network applications. A primary goal in this dissertation is to identify and address scenarios where real-time optimized controllers do not maintain competitive performance with off-line calibrated, vehicle-actuated control techniques. An extensive literature review is supplemented by subsequent simulation experiments. Several strategies were implemented and evaluated, including OPAC, PRODYN, COP, ALLONS-D, Webster's optimized fixed-time contr
APA, Harvard, Vancouver, ISO, and other styles
2

Fkadu, Kebede Aregay. "Evaluation of Adaptive Traffic Signal Control Using Traffic Simulation : A case study in Addis Ababa, Ethiopia." Thesis, KTH, Transportplanering, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277842.

Full text
Abstract:
One of the most significant urban transport problems is traffic congestion. All major cities both in developed and developing countries are facing the problem due to increasing travel demand caused by increasing urbanization and the attendant economic and population growth. Recognizing the growing burden of traffic congestion, community leaders and transportation planners in Addis Ababa are still actively promoting large-scale road constructions to alleviate traffic congestion. Although Intelligent Transportation Systems(ITS) applications seem to have the potential to improve signalization per
APA, Harvard, Vancouver, ISO, and other styles
3

Chow, Lee-Fang. "Integrating adaptive queue-responsive traffic signal control with dynamic traffic assignment." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0001280.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Cai, C. "Adaptive traffic signal control using approximate dynamic programming." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/20164/.

Full text
Abstract:
This thesis presents a study on an adaptive traffic signal controller for real-time operation. An approximate dynamic programming (ADP) algorithm is developed for controlling traffic signals at isolated intersection and in distributed traffic networks. This approach is derived from the premise that classic dynamic programming is computationally difficult to solve, and approximation is the second-best option for establishing sequential decision-making for complex process. The proposed ADP algorithm substantially reduces computational burden by using a linear approximation function to replace th
APA, Harvard, Vancouver, ISO, and other styles
5

Maslekar, Nitin. "Adaptive Traffic Signal Control System Based on Inter-Vehicular Communication." Rouen, 2011. http://www.theses.fr/2011ROUES046.

Full text
Abstract:
Traffic signal control, which is an integral part of Intelligent Transportation System (ITS), plays an important role in regulating vehicular flow at road intersections. With the increase of vehicular traffic, there has been a significant degradation in the functional efficiency of signal systems. Traditional systems are not capable of adjusting the timing pattern in accordance with vehicular demand. This results in excessive delays for road users. Hence it is necessary to develop dynamic systems that can adjust the timing patterns according to traffic demand. Of the various available techniqu
APA, Harvard, Vancouver, ISO, and other styles
6

Rajvanshi, Kshitij. "Multi-Modal Smart Traffic Signal Control Using Connected Vehicles." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin147981730919519.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Beak, Byungho, and Byungho Beak. "Systematic Analysis and Integrated Optimization of Traffic Signal Control Systems in a Connected Vehicle Environment." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626304.

Full text
Abstract:
Traffic signal control systems have been tremendously improved since the first colored traffic signal light was installed in London in December 1868. There are many different types of traffic signal control systems that can be categorized into three major control types: fixed-time, actuated, and adaptive. Choosing a proper traffic signal system is very important since there exists no perfect signal control strategy that fits every traffic network. One example is traffic signal coordination, which is the most widely used traffic signal control system. It is believed that performance measures,
APA, Harvard, Vancouver, ISO, and other styles
8

Xie, Yuanchang. "Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2480.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kashyap, Gaurav. "Modeling Methodology for Cooperative Adaptive Traffic Control Using Connected Vehicle Data." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin15921353756158.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Aquino, Eduardo AraÃjo de. "ValidaÃÃo do modelo mesoscÃpico de trÃfego do scoot para o desenvolvimento de redes viÃrias urbanas microssimuladas." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=11054.

Full text
Abstract:
One of the main difficulties in the development of urban traffic microsimulation models is the collection of traffic data for calibration and validation. However, the city of Fortaleza has an important mesosimulation tool that, in addition to controlling urban traffic in real time, estimates traffic variables: the well-known SCOOT system. This system, implemented in cities around the world, controls and estimates traffic in the densest urban area of Fortaleza, based on the continuous detection of vehicle occupation on its more than 900 detectors spread throughout the city. However, because the
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Adaptive Traffic Signal Timer"

1

Stevanovic, Aleksandar. Adaptive traffic control systems: Domestic and foreign state of practice. Transportation Research Board, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Highway Innovative Technology Evaluation Center (U.S.), ed. Guidelines for the evaluation of adaptive traffic signal control systems: Final report. American Society of Civil Engineers, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Institute of Transportation Engineers. Public Agency Council Committee PAC-101-03. Guidelines for the activation, modification, or removal of traffic signal control systems: An ITE proposed recommended practice. Institute of Transportation Engineers, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Evaluation, Highway Innovative Technology. Guidelines for the Evaluation of Adaptive Traffic Signal Control Systems: Final Report (Technical Guidelines Report). American Society of Civil Engineers, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Adaptive Traffic Signal Timer"

1

Cai, Xintian, Yilin Liu, Quan Yuan, Guiyang Luo, and Jinglin Li. "AdaptLight: Toward Cross-Space-Time Collaboration for Adaptive Traffic Signal Control." In PRICAI 2023: Trends in Artificial Intelligence. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7019-3_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Brookes, David, and Michael G. H. Bell. "Expected delay and stop calculation for discrete time adaptive traffic signal control." In Highway Capacity and Level of Service. Routledge, 2021. http://dx.doi.org/10.1201/9780203751916-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Patil, Pradhangouda, Srujan Hiremath, Punit Mudishennavar, et al. "Prototype Development and Testing of an Adaptive Real-Time Operating System-Based Density-Oriented Traffic Signal Control." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8591-9_42.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Bedi, Punam, Vinita Jindal, Heena Dhankani, and Ruchika Garg. "ATSOT: Adaptive Traffic Signal Using mOTes." In Databases in Networked Information Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16313-0_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Chen, Yong, Juncheng Yao, Chunjiang He, Hanhua Chen, and Hai Jin. "Adaptive Traffic Signal Control with Network-Wide Coordination." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65482-9_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kunekar, Pankaj, Pooja Jadhavrao, Manas Patil, Roshan Patil, Prathamesh Patil, and Vaibhav Pokale. "Adaptive Traffic Signal Control System Using Machine Learning." In Cognitive Science and Technology. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9266-5_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Yulianto, Budi. "Adaptive Traffic Signal Control Using Fuzzy Logic Under Mixed Traffic Conditions." In Proceedings of the 5th International Conference on Rehabilitation and Maintenance in Civil Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9348-9_59.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Rahman, Md Sharifur, and Md Rafiqul Islam. "Adaptive Instantaneous Traffic Signal Management Through Cascade Object Detection." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06764-3_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Deshmukh, Monika J., and Chirag N. Modi. "Designing an Adaptive Vehicular Density-Based Traffic Signal Controlling System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8636-6_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Mohiddin, Shaik Khaja, C. Prasanth, Gajendra Singh Rathore, and C. Hemanth. "Mathematical Analysis of Adaptive Queue Length-Based Traffic Signal Control." In Wireless Communication Networks and Internet of Things. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8663-2_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Adaptive Traffic Signal Timer"

1

Singh, Dipendra, Athar Taj, Divyanshu Yadav, Eklavya Singh Yadav, Vishal Jayaswal, and Sharma Ji. "Adaptive Traffic Signal Timer for Traffic Control System Using Artificial Intelligence." In 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI). IEEE, 2025. https://doi.org/10.1109/iccsai64074.2025.11064502.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Shirulkar, Sarvesh, Rishabhdev Makode, and Richa Khandelwal. "Adaptive Traffic Signal Management Using Real-Time Vehicle Detection and Tracking." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10984828.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Mariyammal, M., Rakesh S. P, Ramana Ganthan S, R. Poornima Lakshmi, Ayyappan S, and R. Ponnusamy. "Real Time Vehicle Density Detection for Adaptive Traffic Signal Control Using YOLOv5." In 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG). IEEE, 2024. https://doi.org/10.1109/icstsdg61998.2024.11026636.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Papanashi, Suhas, Manya Chadaga, Kshithi R, Santosh S. Huddar, K. Sreelakshmi, and Ramakanth Kumar P. "Adaptive Traffic Signal Timing: Leveraging YOLOv10 and Computer Vision for Real-Time Optimization." In 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2024. https://doi.org/10.1109/csitss64042.2024.10817018.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Nulyn Punitha Markavathi, Ms J., Saravanaselva N, Viswam M.R, Veeramani M, and Pandikannan M. "Real-Time Traffic Density Monitoring and Adaptive Signal Control Using YOLOv8 and Arduino-Based LED System." In 2024 9th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2024. https://doi.org/10.1109/icces63552.2024.10859969.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Chen, Shuhong, Zewei Chen, Chen Li, Xianwei Zheng, Minfan He, and Xutao Li. "Adaptive Time-Varying Graph Learning for Traffic Flow Data Based on Anomaly Moment Detection." In 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2024. https://doi.org/10.1109/apsipaasc63619.2025.10848799.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Gupta, Akshita, Anant Agarwal, and Vivek Ashok Bohara. "Adaptive Traffic Signal Cycle Control for Green City Traffic Management." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10903119.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Agrawal, Satyam, Ritvij Sharma, Pankaj Srivastava, and Vinal Patel. "Adaptive Traffic Signal Control System Using Deep Reinforcement Learning." In 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT). IEEE, 2024. https://doi.org/10.1109/inspect63485.2024.10896157.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Tan, Min Keng, Shun Quan Chai, Helen Sin Ee Chuo, Kit Guan Lim, Hui Hwang Goh, and Kenneth Tze Kin Teo. "Adaptive Traffic Signal Control using Genetic Algorithm for a 2×2 Traffic Network." In 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). IEEE, 2024. http://dx.doi.org/10.1109/iicaiet62352.2024.10730292.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Tian, Yuanqing, Yuxuan Wang, Xiang Li, and Lei Wang. "Reinforcement learning-based two-stage adaptive traffic signal control method." In 4th International Conference on Internet of Things and Smart City, edited by Xinwei Yao and Francisco Falcone. SPIE, 2024. http://dx.doi.org/10.1117/12.3034887.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Adaptive Traffic Signal Timer' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography