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

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Published: 5 June 2025

Last updated: 2 August 2025

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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.

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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

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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.

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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

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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.

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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/.

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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

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5

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

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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

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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.

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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.

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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,

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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.

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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.

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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.

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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

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11

CHIH-HUA, CHANG, and 張智華. "Adaptive Signal Control Under Intelligent Traffic Signal Contorller." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/90941759984416268872.

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12

Lin, Ying-Hong, and 林盈宏. "An adaptive traffic sign and signal detection and recognition." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/17796930825787754647.

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碩士<br>國立中央大學<br>資訊工程研究所<br>97<br>The traffic signs and signals are used to provide the traffic information for all drivers and pedestrians. Generally, drivers pay much visual attention to gain the traffic information. The drivers would be more released if there is an automatic traffic sign and signal detector and recognition. In this study, we propose a traffic sign and signal detection and recognition system to aid the driving for safety. The traffic signs were detected in the IHS color space. To increase the accuracy, the captured images were automatically divided into two cases: day and nig

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13

Yueh-TzuWu and 吳悅慈. "The Development of Arterial Traffic-adaptive Signal Control Model." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/25158464583798233244.

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14

Hsu, Kuo-Chun, and 徐國鈞. "Adaptive Traffic Signal Control Model with Self-Learning Capability." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/97802832567760487254.

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博士<br>國立成功大學<br>交通管理學系碩博士班<br>91<br>Due to the rapid development of ITS in the world recently, for traffic signal control system in the urban cities, it is possible to gain sufficient road traffic information from multiple approaches, such as vehicle detectors on the roads and Global Position with In-Vehicle Information Systems. This can lead to analytical calculation of per vehicle per second basis. At the same time, traffic adaptive signal control system can react to accidents and thus satisfy the demand on constantly enhancing the traffic excellence among the general public. It will also

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15

Chang, Tzu-Lin, and 張慈麟. "An Adaptive Urban Traffic Signal Control System with Bus Priority." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/49206588777668441061.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>101<br>In recent years, with the economic development and urbanization, traffic congestion has become a serious problem in urban environments. So, traffic signal control plays a key role in Intelligent Transportation System (ITS). Particularly, bus system can carry a higher capacity of passengers, which help to relief traffic jam in cities. Thus, it is important to consider bus priority during traffic light control. However, different from ordinary vehicles, bus system has some unique features, including higher capacity of passengers, fixed routes and specific req

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16

Deng, Bo-Teng, and 鄧博騰. "Study of Passenger-based Adaptive Traffic Signal System in VANETs." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/45833489844465562559.

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碩士<br>國立中央大學<br>資訊工程研究所<br>98<br>In recent years, a lot of researches about Vehicular Ad-hoc Networks (VANETs) and Intelligent Transport System (ITS) have been developed. The related researches in VANETs are mainly focus on safety and applications. How to service more vehicles and passengers and shorten traveling time is a major challenge issues that researchers need to solve. It is feasible to achieve aforementioned goal by using inter-vehicle communication (V2V) or vehicle to infrastructure communication (V2I) to exchange real-time traffic information and adjust traffic signal cycle by infra

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17

Zhou, Guangwei. "Optimization of adaptive traffic signal control with transit signal priority at isolated intersections using parallel genetic algorithms." 2006. http://digitalcommons.fiu.edu/dissertations/AAI3217586/.

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Thesis (Ph. D.)--Florida International University, 2006.<br>Includes bibliographical references (p. 146-152). Also available online via the Florida International University Digital Commons website (http://digitalcommons.fiu.edu/).

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18

Ting-HsienLin and 林定憲. "A Mixed-Traffic Cellular Automata Model for Adaptive Signal Control Logic." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/f34gyf.

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碩士<br>國立成功大學<br>交通管理科學系<br>104<br>The aim of this research is to develop a mixed traffic flow model for adaptive signal control logic called COMDYC-3E. There are two objectives: (1) to apply cell automata (CA) to enhance mixed traffic flow model for traffic prediction, and (2) to verify the validity of the mixed CA traffic flow model. This developed CA mixed traffic flow model is a traffic prediction model which is one of the sub modules in COMDYCS-3E, and it could estimate and predict vehicle traffic evolutions between vehicle detector and stop line along an arterial segment. Moreover, it is

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19

Hwang, Tay-Lin, and 黃泰林. "A Study on Establishment of Intelligent Traffic-Adaptive Network Signal Control Model." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/79310989882900779086.

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20

Chia-WenLu and 呂嘉文. "A Study on Adaptive Traffic Signal Control with Vehicular Ad-hoc Network." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/6nv55q.

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碩士<br>國立成功大學<br>交通管理科學系<br>105<br>With the emerging vehicular ad-hoc network (VANET) technique, spatiotemporal coverage of traffic information collection has evolved from the minute level to the second level so that traditional adaptive traffic signal control (ATSC) strategies, based on traditional fixed and minute level vehicle detectors, may be unable to handle such large amount of real-time traffic information. Several issues are found in modern VANET-based ATSC strategies which make these works hardly applied to practical real traffic network. In this work, we take all the practical issues

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21

Hunter, Michael P. "Development and validation of a flexible, open architecture, transportation simulation with an adaptive traffic signal control implementation." Thesis, 2003. http://wwwlib.umi.com/cr/utexas/fullcit?p3116342.

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22

Chen, Xiao. "Traffic Signal Control in Congested Urban Networks: Simulation-based Optimization Approach." Doctoral thesis, 2014. http://hdl.handle.net/10316/27072.

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Congestion has become a global phenomenon, in particular in great urban areas in which daily traffic jams are in most cases a major concern. Managing signal plans efficiently is one of the most cost-effective methods. However, existing signal control strategies are less powerful in handling congested network with spillbacks and grid-type topology. Enhancing the reliability of our networks is currently recognized as a critical goal in the US and in Europe. There is extensive evidence that indicates that travel time reliability is accounted by travelers in a variety of travel decisions, such as

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23

Shenoda, Michael. "Development of a phase-by-phase, arrival-based, delay-optimized adaptive traffic signal control methodology with metaheuristic search." Thesis, 2006. http://hdl.handle.net/2152/24348.

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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. Herein, a methodology 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. This optimization is solved using metaheuristic search procedures, namely tabu search, and embedde

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24

Lin, Szu-Yin, and 林斯寅. "ACTAM: Apply Adaptive and Cooperative Multi-Agent Systems to Urban Traffic Signal Control." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/vbdv9p.

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碩士<br>國立交通大學<br>資訊管理所<br>91<br>Urban area traffic congestion problem is getting worse since traditional traffic signal control system could not satisfy the need of efficiently regulate urban area traffic. Therefore, dynamic traffic signal control in ITS have received increasing attention recently. In this paper, we proposed a multi-agent architecture, Adaptive and Cooperative Traffic light Agent Model (ACTAM), for decentralized traffic signal control system. The proposed architecture is composed of data storage and communication layer, traffic regulation factors processing layer, and decision-

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25

LEE, LIANG-CHIEN, and 李樑堅. "The research on the establishment of microscopic traffic flow simulation model to develop traffic adaptive signal control logic." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/51999634735052199846.

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26

Lin, Chi-De, and 林其德. "Estimating Traffic Flow By Image Processing and its Appliction to Fuzzy Adaptive Traffic Signal Control at an Isolated Intersection." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/61916173254783664345.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>95<br>Traffic information detection and adaptive traffic signal control are vital to the development of intelligent transportation system. The cycle length of a traffic signal controller can be adjusted dynamically by applying gathered traffic information to adaptive traffic signal control at the isolated intersection, thus the traffic jams can be reduced. Detecting traffic information by use of image processing has become a trend, however, most of the previous research use microscopic measurement, which is unnecessary in application to adaptive traffic signal cont

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27

吳怡潔. "Adaptive Signal Control Model with Consideration of Emission Concentration under Mixed Traffic Flow Conditions." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/84489466276284084184.

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碩士<br>國立交通大學<br>交通運輸研究所<br>100<br>Since road traffic is one of major sources of air pollution, a model which can replicate traffic behaviors, traffic emissions, emission dispersion so as to serve as the platform for evaluating or optimizing traffic control strategies deems necessary. Based on this, this study develops and optimizes an adaptive signal control model which can minimize the total traffic emissions and control the pollution concentration at road-side environmental sensitive areas (such as hospitals or schools) under a certain preset threshold in order to reduce the environmental im

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28

Chih-WeiYeh and 葉志韋. "An Enhanced Cell Transmission Model for Establishing an Adaptive Signal Control Logic under Mixed Traffic Flow Conditions." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/t65txx.

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碩士<br>國立成功大學<br>交通管理科學系<br>102<br>This research is to develop an adaptive signal control logic under mixed traffic flow conditions. There are two objectives: (1) develop a traffic prediction model under mixed traffic flow condition which is proper to adaptive signal control logic, (2) Measure the performance of the adapative signal control logic. The traffic prediction model is called enchanced cell transmission model (enhanced CTM) developed by observing both real vehicle driving behavior and simulation result in VISSIM software. This model fits some traffic condition such as permissive motor

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29

Ming-Hui, Chang, and 張明惠. "A Companison Study on Four Well-known Traffic-adaptive Signal Control Logics ( OPAC、MOVA、SAST and COMDYCS-Ⅲ)." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/74347170698931252648.

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30

俞紫娟. "A performance evaluation of local traffic-adaptive signal control system under a blocking incident happened in the two-lane urban network." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/23380025969686930922.

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碩士<br>國立嘉義大學<br>運輸與物流工程研究所<br>95<br>Traffic adaptive signal control systems have been developed for many years in Taiwan for the rapid increase of traffic on urban streets. However, whether or not the traffic adaptive signal control systems can be applied to urban street incidents are still not well understood. In order to have a better understanding of the performance of traffic adaptive signal control system, COMDYCS-3e, for urban street incidents, a 12-intersection network is developed for various scenario analysis. This study applies Synchro and Paramics to compare the performances between

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31

Prashanth, L. A. "Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design." Thesis, 2013. http://etd.iisc.ac.in/handle/2005/2810.

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A fundamental question in a sequential decision making setting under uncertainty is “how to allocate resources amongst competing entities so as to maximize the rewards accumulated in the long run?”. The resources allocated may be either abstract quantities such as time or concrete quantities such as manpower. The sequential decision making setting involves one or more agents interacting with an environment to procure rewards at every time instant and the goal is to find an optimal policy for choosing actions. Most of these problems involve multiple (infinite) stages and the objective function

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Prashanth, L. A. "Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design." Thesis, 2013. http://hdl.handle.net/2005/2810.

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A fundamental question in a sequential decision making setting under uncertainty is “how to allocate resources amongst competing entities so as to maximize the rewards accumulated in the long run?”. The resources allocated may be either abstract quantities such as time or concrete quantities such as manpower. The sequential decision making setting involves one or more agents interacting with an environment to procure rewards at every time instant and the goal is to find an optimal policy for choosing actions. Most of these problems involve multiple (infinite) stages and the objective function

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