Smart City Gnosys

Smart city article details

Title	An Accelerated-Time Simulation For Traffic Flow In A Smart City
ID_Doc	7335
Authors	Galán-García, JL; Aguilera-Venegas, G; Rodríguez-Cielos, P
Year	2014
Published	JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 270
DOI	http://dx.doi.org/10.1016/j.cam.2013.11.020
Abstract	Traffic control is one of the most important problems related with urban development. Current trends for traffic control are based on the use of smart traffic lights and signals as a part of smart cities' projects. Different cities are currently involved in the design and implementation of smart traffic control. Since the cost of physically installing these systems is very high, in terms of both money and resources, accelerated-time simulations of traffic flow using smart traffic lights and signals significantly reduce these costs. In this work we present a new model for accelerated-time simulations for traffic flow within. The philosophy of this model is based on previous works of the authors, where accelerated-time simulations for car traffic in a motorway or a roundabout and baggage traffic in an airport were developed. The philosophy of this model combines ideas from cellular automata and neural network theories, obtaining a mixed model. This system was developed using a Computer Algebra System (CAS) called MAXIMA for mathematical computations and a JAVA based interface for graphical display. MAXIMA allows the system to support the use of ad hoc distribution functions for the different events dealt with in the simulations. The interface provides a friendly framework for entering input data and visualizing the simulations, providing also some statistical data. (C) 2013 Elsevier B.V. All rights reserved.
Author Keywords	Accelerated-time simulations; Smart cities; Car traffic; CAS

Similar Articles

Id	Similarity	Authors	Title	Published
13533	0.889	Bykov N.V.	Cellular Automata Simulation Of Heterogeneous Freeway Traffic Flow In A Smart City	Proceedings of the 2022 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2022 (2022)
30975	0.887	Chaudhari V.D.; Patil A.J.; Shirale D.J.; Al-Shaikhli T.R.; Kumar A.V.; Eswaran B.	Improving Traffic Flow In Smart Cities With Machine Learning-Based Traffic Management	Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024 (2024)
30622	0.884	Bachechi C.; Po L.	Implementing An Urban Dynamic Traffic Model	Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019 (2019)
44468	0.884	Dmitrieva E.; Pathani A.; Pushkarna G.; Acharya P.; Rana M.; Surekha P.	Real-Time Traffic Management In Smart Cities: Insights From The Traffic Management Simulation And Impact Analysis	BIO Web of Conferences, 86 (2024)
21429	0.884	Skoropad V.N.; Deđanski S.; Pantović V.; Injac Z.; Vujičić S.; Jovanović-Milenković M.; Jevtić B.; Lukić-Vujadinović V.; Vidojević D.; Bodolo I.	Dynamic Traffic Flow Optimization Using Reinforcement Learning And Predictive Analytics: A Sustainable Approach To Improving Urban Mobility In The City Of Belgrade	Sustainability (Switzerland), 17, 8 (2025)
5935	0.881	Rocha, FW; Fukuda, JC; Francesquini, E; Cordeiro, D	Accelerating Smart City Simulations	HIGH PERFORMANCE COMPUTING, CARLA 2021, 1540 (2022)
44451	0.879	Jain N.; Parwanda R.; Chauhan A.	Real-Time Smart Traffic Control And Simulation: An Approach For Urban Congestion Management	2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023 (2023)
48920	0.878	Satkunarajah S.; Puvanendran R.	Simulation-Based Traffic Management Model To Minimize The Vehicle Congestion In Traffic Signals	ICAC 2023 - 5th International Conference on Advancements in Computing: Technological Innovation for a Sustainable Economy, Proceedings (2023)
23044	0.878	Revathy G.; Thangavel M.; Senthilvadivu S.; Savithri M.C.	Enabling Smart Cities: Ai-Powered Prediction Models For Urban Traffic Optimization	4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025 - Proceedings (2025)
29107	0.877	Silva P.; Smolková P.; Michailidu S.; Beránek J.; Macháček R.; Slaninová K.; Martinovič J.; Cmar R.	High-Performance Computing For Distributed Route Computation In Traffic Flow Models	Procedia Computer Science, 255 (2025)