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Journal articles on the topic 'Traffic and Transportation Engineering'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Hendrickson, Chris, and Larry Rilett. "Traffic Simulation and Transportation Engineering." Journal of Transportation Engineering, Part A: Systems 143, no. 12 (2017): 01817002. http://dx.doi.org/10.1061/jtepbs.0000091.

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Sirisha, Y., and Sai Shravya Garlapati. "TRAFFIC PREDICTION FOR INTELLIGENT TRANSPORTATION SYSTEM." YMER Digital 21, no. 05 (2022): 499–504. http://dx.doi.org/10.37896/ymer21.05/56.

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Vlahogianni, Eleni I., Byungkyu Brian Park, and J. W. C. van Lint. "Big data in transportation and traffic engineering." Transportation Research Part C: Emerging Technologies 58 (September 2015): 161. http://dx.doi.org/10.1016/j.trc.2015.08.006.

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Wang, Shangen, and Wei Zhang. "The Risk Model of Traffic Engineering Investment and Financing by Artificial Intelligence." Computational Intelligence and Neuroscience 2022 (August 3, 2022): 1–9. http://dx.doi.org/10.1155/2022/9402472.

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This study aims to analyze the influencing factors and mechanisms of investment and financing risks in transportation projects so that regions do not restrict the transportation investment and financing risk models in all areas to achieve intelligent transportation financial risk assessment. Firstly, the investment and financing modes are studied and analyzed. According to the analysis of intellectual investment and the financing report of traffic engineering infrastructure, a traffic engineering investment and a financing model based on intelligent computing is established, which is based on

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Gucma, Lucjan, Krzysztof Naus, Marko Perkovič, and Cezary Specht. "Applied Maritime Engineering and Transportation Problems 2022." Applied Sciences 14, no. 9 (2024): 3913. http://dx.doi.org/10.3390/app14093913.

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6

Zhiwei Luo. "Performance Evaluation and Optimization of Traffic Electromechanical Engineering Based on Big Data." Journal of Electrical Systems 20, no. 9s (2024): 2160–67. http://dx.doi.org/10.52783/jes.4831.

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The continuous development of big data technology and its penetration in various industries has created unprecedented development prospects for the industry, and has had an important impact on promoting digitalization, intelligence and information in specific industries. As an important part of the transportation system, traffic mechanical and electrical engineering plays an important role in planning and guiding the operation of the transportation system. Its performance reliability will largely determine the operating efficiency and safety of the transportation system. Therefore, this study

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Artayasa, I. Made. "IMPLEMENTATION OF POLICIES CONCERNING MANAGEMENT AND ENGINEERING OF TRAFFIC AND ROAD TRANSPORTATION AND PARKING IN UBUD SUB-DISTRICT." E-Journal of Cultural Studies 16, no. 4 (2023): 65. http://dx.doi.org/10.24843/cs.2023.v16.i04.p05.

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Management and engineering of traffic and road transportation are programs initiated by the Gianyar Regency government with the aim of achieving an integrated transportation system that ensures safety, security, order, smoothness, regularity, success, utility, comfort, and efficiency throughout the Ubud sub-district and its surrounding areas. This policy aligns with the community’s purchasing power, public interest aspects (road users), environmental sustainability, spatial planning, and advancements in knowledge and technology. The research addresses the following issues: 1) how is the implem

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Xue, Chuan. "Research on Innovative Application of Vehicle Road Collaboration Technology in Intelligent Transportation Engineering." Journal of Civil and Transportation Engineering 1, no. 3 (2024): 64–68. https://doi.org/10.62517/jcte.202406310.

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Smart transportation engineering is an important means to address urban transportation issues, and the continuous development and application of vehicle road collaboration technology provide new opportunities and possibilities for innovation in smart transportation. This article aims to explore the innovative application of vehicle road collaboration technology in smart transportation engineering, with a focus on analyzing its core value in real-time data communication and transportation system integration. At the same time, in-depth analysis will be conducted on the application challenges fac

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Satpute, Ms Bhumika Vasant, Ms Dhanlaxmi Balavant Don, Ms Rakhi Ajaykumar Salave, Ms Abrar Zameer Shaikh, and Prof Akash K. Gunjal. "Intelligent Transportation System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 4560–69. http://dx.doi.org/10.22214/ijraset.2022.43354.

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Abstract: People have experienced frequent communication and information exchange in recent years as a result of the proliferation of mobile devices. For example, when people go on vacations, it is common for each person to bring a smart phone with them to get information about nearby attractions. When a user visits a location, the application will provide useful information based on the user's current location preferences and previous visits to locations and their traffic signs. This new feature of map will learn your preferences and will display traffic signs in the area this system would di

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Uddin, Waheed. "Value Engineering Applications For Managing Sustainable Intermodal Transportation Infrastructure Assets." Management and Production Engineering Review 4, no. 1 (2013): 74–84. http://dx.doi.org/10.2478/mper-2013-0009.

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Abstract Frequent gridlocks and traffic jams during the periods of rush hours can result in long user delays and more vehicle emissions causing continuous degradation of air quality. The builtinfrastructure of densely populated cities and intercity travel by passenger and freight traffic lead to significant adverse impacts of traffic congestion on air quality, greenhouse gas emissions, and global warming. Transportation contributes 28% of energy related greenhouse gas emissions in the U.S. This paper shows that traffic related carbon dioxide (CO2) emissions are higher per capita for several ru

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YEROYAN, A. G. "MODERN ROLLING COMPOSITION OF RAILWAY TRANSPORT. MAIN TRENDS IN TRANSPORT ENGINEERING." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 2, no. 3 (2020): 47–52. http://dx.doi.org/10.36871/ek.up.p.r.2020.03.02.008.

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The article explores the main technical parameters of modern electric locomotives in Russia. The renewal of the locomotive complex directly affects the quality of the transportation process. Due to the growing volume of cargo transportation, the intensity of passenger train traffic between large cities, the growth of transit container traffic, the existing dilapidated rolling stock needs updating to be ready for the annually increasing demand for rail transportation.

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Abdulhai, Baher, and Lina Kattan. "Reinforcement learning: Introduction to theory and potential for transport applications." Canadian Journal of Civil Engineering 30, no. 6 (2003): 981–91. http://dx.doi.org/10.1139/l03-014.

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The aim of this paper is to develop insight into the potential of reinforcement learning (RL) agents and distributed reinforcement learning agents in the domain of transportation and traffic engineering and specifically in Intelligent Transport Systems (ITS). This paper provides a crystallized, comprehensive overview of the concept of RL and presents related successful applications in the field of traffic control and transportation engineering. It is divided into two parts: the first part provides a thorough overview of RL and its related methods and the second part reviews most recent applica

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Levinson, David M., and Yuanlin Huang. "Windowed Transportation Planning Model." Transportation Research Record: Journal of the Transportation Research Board 1607, no. 1 (1997): 45–54. http://dx.doi.org/10.3141/1607-07.

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A transportation planning model that integrates regional and local-area forecasting approaches is developed and applied. Although regional models have the scope to model the interaction of demand and congestion, they lack spatial detail. Local-area analysis typically does not consider the feedback between new project loadings and existing levels of traffic. A windowed model, which retains regional trip distribution information and the consistency between travel demand and congestion, permits the use of a complete transportation network and block-level traffic zones while retaining computationa

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Shi, Zhongzhen, and Zhenjun Xu. "The Construction of the Curriculum System of Transportation Engineering Electromechanical Professional Group Based on Guizhou's Transportation Characteristics." Advances in Social Development and Education Research 1, no. 2 (2024): 224. http://dx.doi.org/10.61935/asder.2.1.2024.p224.

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The professional group of traffic engineering electromechanics has the same professional basic platform courses with the core of engineering machinery application technology, the construction of traffic engineering electromechanical related equipment and facilities as the service object, and the realization of intelligent transportation electromechanical engineering as the goal to realize the cross-border integration of technical skills of the professional courses.Under the guidance of the curriculum concept of "wide caliber + thick foundation", it meets the needs of students' personality deve

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15

Sun, Carlos, Wilfred Recker, Stephen Ritchie, Brian Gallagher, Eric Shen, and John Thai. "OAK-TREE: One-of-a-Kind Traffic Research and Education Experiment." Transportation Research Record: Journal of the Transportation Research Board 1603, no. 1 (1997): 106–11. http://dx.doi.org/10.3141/1603-14.

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The creation and progress of OAK-TREE (One-of-a-Kind Traffic Research and Education Experiment) are chronicled. OAK-TREE is a traffic educational laboratory experiment that was developed and conducted at the University of California at Irvine (UCI) during the spring quarter of 1996. This project involved a cooperative effort between the academic community and public-sector transportation operating agencies in developing a comprehensive field and laboratory educational experience for undergraduate students in transportation engineering. The agencies involved in this effort were the Department o

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16

Pan, Ke. "Current Situation and Development Trend of Urban Traffic Engineering Management." BCP Business & Management 13 (November 16, 2021): 366–71. http://dx.doi.org/10.54691/bcpbm.v13i.108.

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With the continuous progress of social civilization and the development of the times, the industrial economy and people's living conditions in various regions of China have changed with each passing day in recent years. Relevant state departments have also paid more attention to the transportation industry. As the core of economic development, urban transportation projects are more complex than those in township areas and have higher requirements for managers. With the improvement of people's quality of life, the modes of transportation have become diverse. To ensure that all parts of the city

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Dhamge, Dr Nina R. "Literature Review for Study of Characteristics of Traffic Flow." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 2393–405. http://dx.doi.org/10.22214/ijraset.2023.52079.

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Abstract: Traffic engineering is the implementation of engineering concepts and techniques to the safe and efficient circulation of individuals as well as goods on roadways. To make the flow of people and products on highways safe and timely, traffic engineering employs technical principles and procedures. People and products must be moved in a safe and timely manner, which depends on traffic flow, which is directly related to traffic characteristics. The volume, speed, and density of a traffic flow are its three primary determinants. Congestion is one of the most widespread and critical globa

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18

Turochy, Rod E., and Brian L. Smith. "Measuring Variability in Traffic Conditions by Using Archived Traffic Data." Transportation Research Record: Journal of the Transportation Research Board 1804, no. 1 (2002): 168–72. http://dx.doi.org/10.3141/1804-22.

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The predictability of transportation service is of great importance to travelers. Whereas most transportation performance measures deal more directly with congestion, such as through delay measures, few quantify the level of predictability of travel. A new measure that effectively measures predictability of transportation service, the variability index, was developed and demonstrated. The variability index is a good example of the application of data mining in large transportation databases. Conceptually based on multivariate statistical quality control (MSQC), the variability index is compute

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19

Wang, Wei, and Bao Fu Wang. "Research on Mountain Highway Traffic Volume Transferred by Ports." Advanced Materials Research 243-249 (May 2011): 4381–85. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.4381.

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With the expansion of port handling capacity and economic benefit, large mountains highway traffic volume are aggregated to and transported by ports, and large increment of traffic volume of mountains highways connected with the port occurred. Based on studying characteristics of port transportation and mountainous highway traffic network, mountains highway traffic volume transferred by ports is analysed, and corresponding analysis model of passenger and goods volume of entering and leaving port is put forward. Firstly, choosing ports which mainly effect mountains highway volume; secondly, con

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20

Muhammad Husain Hasan, Hamza H. Wulakada, and Wasti Julita Ndun. "Transportation Network Connectivity in Nusa Cendana University Campus Environment." Frontier Advances in Applied Science and Engineering 2, no. 1 (2024): 37–47. http://dx.doi.org/10.59535/faase.v2i1.281.

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The objectives of this research are, (1) To determine the connectivity index of the transportation network in the Undana campus environment, and (2) To determine and increase the level of efficiency of traffic movements in supporting the accessibility needs of transportation users in the Undana campus environment. campus environment. The method used is a quantitative descriptive method which is used to analyze data by describing or illustrating the data that has been collected as it is. The results of the analysis in this research are, with the beta index value (ϐ) of 1.05 indicates that road

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21

Dobrodolac, Momčilo, Marjana Čubranić-Dobrodolac, and Stefan Jovčić. "Special Issue: “Fuzzy Logic Applications in Traffic and Transportation Engineering”." Mathematics 13, no. 8 (2025): 1313. https://doi.org/10.3390/math13081313.

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Traffic and transportation engineering involves the application of scientific principles to the planning, design, and operation of facilities for any mode of transportation and to human resource management in industry, which are required to enable the safe, efficient, economical, and environmentally compatible movement of people and goods [...]

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22

Skabardonis, Alexander. "Microcomputer Applications in Traffic Engineering." Journal of Transportation Engineering 112, no. 1 (1986): 1–14. http://dx.doi.org/10.1061/(asce)0733-947x(1986)112:1(1).

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23

Zarrillo, Marguerite L. "Traffic Engineering Handbook (Fifth Edition)." Journal of Transportation Engineering 127, no. 2 (2001): 178–79. http://dx.doi.org/10.1061/(asce)0733-947x(2001)127:2(178.2).

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24

Dongarwar, Trupti, and N. H. Pitale. "Review-Comparative study on Traffic Actuated Signal System for Traffic Management System." IOP Conference Series: Earth and Environmental Science 1326, no. 1 (2024): 012107. http://dx.doi.org/10.1088/1755-1315/1326/1/012107.

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Abstract Traffic Engineering is a branch of Transportation Engineering which discuses planning geometric design and traffic operation of roadway, highway, and street. One of the major fields of traffic Engineering is studying of traffic flow, traffic volume and speed. As the community of the globe develops gradually so the fleet of automobiles also increases. Traffic on the Road depends on peak hours. The traffic is heavy in morning time as compared to afternoon. In rainy Season traffic jam occurs on road after rain has stopped. Due this Problem, the Traffic monitoring is the system which help

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Klügl, Franziska, Ana L. C. Bazzan, and Sascha Ossowski. "Agents in traffic and transportation." Transportation Research Part C: Emerging Technologies 18, no. 1 (2010): 69–70. http://dx.doi.org/10.1016/j.trc.2009.08.002.

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26

Dong, Yu Bo. "Discussion on Urban Road Traffic Congestion Algorithm for Automatically Determining." Advanced Materials Research 926-930 (May 2014): 3790–93. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3790.

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Compared with the expressway, most of the traffic flow in urban road network can be denoted as interrupted traffic flow. Based on the current employed equipment for traffic flow collection and traffic signal control in urban roads, different types of traffic flow in urban roads are analyzed with the traffic flow arrival/departure model in transportation engineering. Mathematical models complying with traffic flow changes are utilized to match the traffic flow in both entry and exit road blocks, thus, enabled the automatic detection of traffic incident. This algorithm provides a measurement for

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Yang, De You, and Fan Chun Meng. "Study on Integrated Transportation Network for Manufacturing Engineering." Applied Mechanics and Materials 484-485 (January 2014): 231–34. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.231.

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With integrative trend of world economy, drastic competition in the market, commercial intercourse in the future will emphasize more and more on convenience. Thus strengthening the comprehensive transportation network of research and practice has become the mainstream. This paper describes the development of an intelligent traffic control and dispatch system.

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Dridi, Mahjoub, Khaled Mesghouni, and Pierre Borne. "Traffic control in transportation systems." Journal of Manufacturing Technology Management 16, no. 1 (2005): 53–74. http://dx.doi.org/10.1108/17410380510574086.

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Li, Jian, Hong Yuan Liu, and Xin Teng. "Research on the Driving Force Factors of Development of Low Carbon of Urban Transportation: Taking Tianjin as an Example." Advanced Materials Research 798-799 (September 2013): 1115–18. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.1115.

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Urban transportation is the main way of carbon emission, development of low-carbon transportation has become the focus of attention of the countries all over the world. This paper analyses the influencing factors of carbon emission of Tianjin transportation based on grey correlation method, putting forward that the cost of urban resident transportation, traffic volume of urban passenger, number of private car and energy consumption of urban transportation are the most important key factors. Therefore, in order to construct low-carbon transportation system, Tianjin should design the layoff of u

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Vaidya, Princy, Dr Sanjay Haridas, and Avinash Ikhar. "Public Transportation System using Swarm Technology." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 2 (2022): 113–16. http://dx.doi.org/10.35940/ijrte.b7158.0711222.

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Pedestrians, ridden or herded animals, vehicles, streetcars, and buses are all instances of road users who travel alone or in groups on public roadways. Both informal and official standards are included in the phrase "road regulations." standards and legislation that have emerged over time to help keep traffic flowing smoothly and efficiently. The informal rules and legislation that have developed over time to facilitate the orderly and timely flow of traffic are known as rules of the road. In structured traffic, terms like priorities, lanes, right-of-way, and traffic management have specific

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Geetha, Dr V., Dr C. K. Gomathy*, T. Harshitha, and P. Vijay Nagendra Varma. "A Traffic Prediction for Intelligent Transportation System using Machine Learning." International Journal of Engineering and Advanced Technology 10, no. 4 (2021): 166–68. http://dx.doi.org/10.35940/ijeat.d2426.0410421.

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Traffic control has been an issue for a long time from the past. The modern world demands Technology. Now a days cars are one of the main methods of improvement in technology. Intelligent Traffic System is also known as Intelligent Transportation System apply communication and information technology to find the solution for the Traffic control issues. Intelligent Transportation System represents the main problem in transportation. ITS is a program .it is used to improve the efficiency of transportation through advanced technologies by using sensors and communication. Some of the problems like

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Tian, Bei Ping, Han Mei Wang, Wen Fang Liu, Bao Jun Yuan, and Xiao Bing Zhong. "Chain Reaction of Mountainside Disasters and its Dispersing Impact on the Traffic and Transportation Network." Advanced Materials Research 243-249 (May 2011): 592–96. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.592.

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There are much mountainous areas in China. Mountainous traffic is greatly different from the plain.Interrelation of mountain landform and the traffic there is analyzed first. Because mountainous traffics and towns are greatly influenced by the disasters there, chain reaction of disasters and its dispersing impact are in particular demonstrated. The course of a disaster could be divided into several stages. Through analyzing their characteristics, solutions in turn to treat disaster are listed. A case is given to elaborate the disaster and its impact on the traffic and town.

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Chen, Dui Yong, and Hui Li Zhang. "An Investigation of the Planning and Designing of Road Network in Logistical Parks." Applied Mechanics and Materials 97-98 (September 2011): 629–32. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.629.

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As a component of the urban transportation system, on the one hand, traffic in logistical parks shares the common features of urban transportation; on the other hand, it still possesses its own rules and characteristics. This paper makes a comparison between traffic in logistical parks and cities and gives an analysis of the logistical parks’ traffic characteristics by using traffic engineering theory, thus to make a clear distinction between traffic in logistical parks and cities， to have a study of the traffic characteristics in logistical parks, and on the basis of this to make an explorati

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Marusin, A. V., I. K. Danilov, A. V. Marusin, and I. V. Vorozheikin. "Challenging engineering solutions for controlling the traffic flow during transportation." Вестник гражданских инженеров 14, no. 6 (2017): 285–90. http://dx.doi.org/10.23968/1999-5571-2017-14-6-285-290.

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Harahap, E., F. H. Badruzzaman, Y. Permanasari, M. Y. Fajar, and A. Kudus. "Traffic engineering simulation of campus area transportation using MATLAB SimEvents." IOP Conference Series: Materials Science and Engineering 830 (May 19, 2020): 022078. http://dx.doi.org/10.1088/1757-899x/830/2/022078.

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V. M., Fareeduddeen, Dr J. Sreerambabu, and M. Mohammed Riyaz. "Traffic Prediction for Intelligent Transportation System Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 922–25. http://dx.doi.org/10.22214/ijraset.2022.46306.

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Abstract: This Document aims to develop a tool for predicting correct and timely traffic flow info. Traffic surroundings involves everything which will have an effect on the traffic flowing on the road, whether or not it’s traffic signals, accidents, rallies, even repairing of roads which will cause a jam. If we've got previous info that is extremely close to approximate regarding all the higher than and many more lifestyle things which may have an effect on traffic then, a driver or rider will create an knowing decision. Also, it helps within the way forward for autonomous vehicles. within th

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Qiu, Li Xin, and Yan Lei Song. "Path Selection of Low-Carbon Traffic Development in Qingdao." Advanced Materials Research 869-870 (December 2013): 976–79. http://dx.doi.org/10.4028/www.scientific.net/amr.869-870.976.

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By the use of the low-carbon traffic model, quantitatively analyzed the current situation of carbon emissions in different modes of urban traffic, this paper emphasized on studying the low-carbon development paths of Qingdao transportation. The results show that, the proportion of CO2 from private cars is the most highest; the increasing number of private cars, and the reduce use of public transport, is the main reason for the increase urban traffic emissions. Through the study of traffic structure, transportation and energy consumption characteristics of Qingdao, low-carbon development paths

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Fernandes, Paulo, João Teixeira, Claudio Guarnaccia, Jorge M. Bandeira, Eloísa Macedo, and Margarida C. Coelho. "The Potential of Metering Roundabouts: Influence in Transportation Externalities." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 25 (2018): 21–34. http://dx.doi.org/10.1177/0361198118774667.

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Roundabouts are increasingly being used on busy arterial streets for traffic calming purposes. However, if one roundabout leg is near a distribution hub, for example, parking areas of shopping centers, the entry traffic volumes will be particularly high in peak hours. This paper investigated a partial-metering-based strategy to reduce traffic-related costs in a corridor. Specifically, the resulting traffic performance, energy, environmental, and exposure impacts associated with access roundabouts were studied in an urban commercial area, namely: (a) to characterize corridor operations in terms

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Lord, Dominique. "Application of Accident Prediction Models for Computation of Accident Risk on Transportation Networks." Transportation Research Record: Journal of the Transportation Research Board 1784, no. 1 (2002): 17–26. http://dx.doi.org/10.3141/1784-03.

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Accident risk has been applied extensively in transportation safety analysis. Risk is often used to describe the level of safety in transportation systems by incorporating a measure of exposure, such as traffic flow or kilometers driven. The most commonly applied definition of accident risk states that risk is a linear function of accidents and traffic flow. This definition, however, creates problems for transportation systems that are characterized by a nonlinear relationship between these variables. The primary objective of the original research was to illustrate the application of accident

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Gulyamov, Said. "Advanced Technologies as a Solution for Transportation Challenges in Developing Megacities: The Positive Case of China." International Journal of Law and Policy 2, no. 10 (2024): 1–12. http://dx.doi.org/10.59022/ijlp.231.

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Rapid urbanization in developing megacities like Beijing has led to pressing transportation challenges, including severe traffic congestion, increased emissions, and poor road safety. This paper examines how advanced software systems, new technologies, and innovative engineering solutions adopted in Beijing can serve as models for sustainable transportation improvements in other emerging megacities. Intelligent transportation systems, advanced traffic control platforms, autonomous vehicle networks, smart mobility apps, big data analytics, and cloud computing have positively impacted congestion

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Niture, Deeplaxmi V., Vivekanand Dhakane, Piyush Jawalkar, and Ankit Bamnote. "Smart Transportation System using IOT." International Journal of Engineering and Advanced Technology 10, no. 5 (2021): 434–38. http://dx.doi.org/10.35940/ijeat.e2870.0610521.

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In this paper a Smart Vehicle Assistance and Monitoring system (SVAMS) is presented. SVAMS is an intelligent transportation system (ITS), developed to tackle various traffic related issues. It is a traffic management, monitoring and optimization solution in which all the vehicles are interconnected through Zigbee and are monitored and assisted centrally, by a data center. The system has two parts; one part is mounted in/on the vehicle and the other part is at the data centre. Part one collects data from various sensors and transmits it to central data centre. All the data will be stored on clo

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Jedhe, Akshata, and Shubham Chopade. "Traffic Prediction for Intelligent Transportation System using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (2022): 244–57. http://dx.doi.org/10.22214/ijraset.2022.46604.

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Abstract: Machine learning is a set of algorithms and statistical models that computers use to perform a desired task. Machine learning can be used in many applications such as face detection, speech recognition, medical diagnostics, statistical arbitrage, traffic prediction, etc. The traffic environment includes everything that can affect traffic on the road, whether it is traffic lights, accidents, rallies, or even road repairs that can cause congestion. If we have preconceived information very close to all of the above and the many everyday situations that can affect traffic, the driver or

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Feng, Tian Jun. "Analysis on Public Bicycle Traffic Characteristic." Advanced Materials Research 694-697 (May 2013): 3306–9. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.3306.

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Introduced the course of development of the public bicycle transportation, elaborated public bicycle traffic characteristics systematically, determined the applicable conditions by actual survey data, and proposed the layout of the public bicycle transportation planning points.

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Cartwright, Kerry, Larry Cottrill, Gary Hamrick, Michael Leue, and Larry Nye. "Ports of Long Beach and Los Angeles Transportation Study." Transportation Research Record: Journal of the Transportation Research Board 1820, no. 1 (2003): i—26. http://dx.doi.org/10.3141/1820-04.

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In 2001, 9.65 million 20-ft-equivalent units of containerized cargo moved through the Ports of Long Beach and Los Angeles. The ports are ranked third in the world in relation to containerized cargo, and first in the United States. Their existing throughput is expected to triple in the next 20 years. To adequately address the continued robust growth in international trade and corresponding cargo throughput, the ports have jointly prepared a transportation study. The study is the first comprehensive areawide analysis of the ports since the early 1980s and the first study that includes an integra

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Gartner, Nathan H., and Chronis Stamatiadis. "Integration of Dynamic Traffic Assignment with Real-Time Traffic Adaptive Control System." Transportation Research Record: Journal of the Transportation Research Board 1644, no. 1 (1998): 150–56. http://dx.doi.org/10.3141/1644-16.

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Intelligent transportation systems (ITS) are being designed to provide real-time control and route guidance to motorists to optimize traffic network performance. Current research and development efforts consist of a dynamic traffic assignment capability that can predict future traffic conditions and a real-time traffic adaptive control system (RT-TRACS) for generation of signal control strategies. Although these models are intimately connected, so far they have developed independently of one another. A framework is presented here for integrating the two models into a combined system with a pra

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Schleiffer, Ralf. "Intelligent agents in traffic and transportation." Transportation Research Part C: Emerging Technologies 10, no. 5-6 (2002): 325–29. http://dx.doi.org/10.1016/s0968-090x(02)00029-3.

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Bazzan, Ana L. C., and Franziska Klügl. "A review on agent-based technology for traffic and transportation." Knowledge Engineering Review 29, no. 3 (2013): 375–403. http://dx.doi.org/10.1017/s0269888913000118.

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AbstractIn the last few years, the number of papers devoted to applications of agent-based technologies to traffic and transportation engineering has grown enormously. Thus, it seems to be the appropriate time to shed light over the achievements of the last decade, on the questions that have been successfully addressed, as well as on remaining challenging issues. In the present paper, we review the literature related to the areas of agent-based traffic modelling and simulation, and agent-based traffic control and management. Later we discuss and summarize the main achievements and the challeng

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Wang, Baoming, Haotian Zheng, Kun Qian, Xiaoan Zhan, and Junliang Wang. "Edge computing and AI-driven intelligent traffic monitoring and optimization." Applied and Computational Engineering 67, no. 1 (2024): 55–60. http://dx.doi.org/10.54254/2755-2721/67/2024ma0062.

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Intelligent transportation system is a comprehensive system engineering, involving real-time data processing, security and privacy protection and other challenges. This paper discusses the key role of edge computing in intelligent transportation, especially its combination with SLAM technology. Edge computing enables faster data processing and response times by placing computing and data storage resources near the data source and end users, improving the efficiency and reliability of intelligent transportation systems. At the same time, edge computing can also enhance information security and

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Wang, Baoming, Haotian Zheng, Kun Qian, Xiaoan Zhan, and Junliang Wang. "Edge computing and AI-driven intelligent traffic monitoring and optimization." Applied and Computational Engineering 77, no. 1 (2024): 225–30. https://doi.org/10.54254/2755-2721/77/2024ma0062.

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Intelligent transportation system is a comprehensive system engineering, involving real-time data processing, security and privacy protection and other challenges. This paper discusses the key role of edge computing in intelligent transportation, especially its combination with SLAM technology. Edge computing enables faster data processing and response times by placing computing and data storage resources near the data source and end users, improving the efficiency and reliability of intelligent transportation systems. At the same time, edge computing can also enhance information security and

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He, Fangcheng. "Intelligent Video Surveillance Technology in Intelligent Transportation." Journal of Advanced Transportation 2020 (November 12, 2020): 1–10. http://dx.doi.org/10.1155/2020/8891449.

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Along with the strength of the country’s overall strength, the people’s pockets have become more and more popular, and there have been significant improvements in all aspects of life, especially in terms of travel methods. This reflects the increase in residents’ income, but it also brings huge traffic pressure. In the long run, traffic congestion is not only detrimental to urban development, but frequent traffic accidents threaten residents’ travel safety. Effective monitoring methods are essential to solving these problems, so it is necessary to carry out research on intelligent video monito

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