For example;
Genetic Algorithm in intersection optimization
Fuzzy logic in attendance control
Ant algorithms and Dynamic programming in shortest path problems
ANN in passenger demand forecasting and other forecasting problems
Soft computing technic in adaptive intersection design
In many optimization applications Swarm Optimization technics etc ..
I am waiting for your contributions on similar applications and techniques to be used.
Thank you very much Dear Sevcan for your contribution. ANN is widdely used in recognition and classification and prediction .
If you're talking about optimization, it's worth mentioning the artificial bee colony algorithm discovered by Derviş Karaboğa.
Article An enhanced artificial bee colony algorithm for the green bi...
Article A discrete artificial bee colony algorithm for the distribut...
Article Applying artificial bee colony algorithm to the multidepot v...
Javad Sharifi that is a fantastic answer, you nailed it. Can you kindly direct me to some of your articles in which you apply ANN using those optimization algorithms?
Dear Prof. Tektas!
This is an excellent question. May I argue the solution is a case - and context dependent one to consider:
1) Martins, A.L., Ferreira, J.C., Kocian, A., Costa, V. (Eds). (2021) .Intelligent Transport Systems, From Research and Development to the Market Uptake, 4th EAI International Conference, INTSYS 2020, Virtual Event, December 3, 2020, Proceedings, Citation: "A Context-Sensitive Cloud-Based Data Analytic Mobile Alert and Optimal Route Discovery System for Rural and Urban ITS Penetration" © 2021 Springer Nature Switzerland AG. Springer is part of Springer Nature, Available at: https://www.springer.com/gp/book/9783030714536
2) A case - study: Antonio Guillen‐Perez, Maria‐Dolores Cano (2021). Intelligent IoT systems for traffic management: A practical application, IET, Intelligent Transport Systems, Volume 15, Issue 2, February 2021, Open access: Article Intelligent IoT systems for traffic management: A practical ...
I think intelligent transport systems have a decisive role in optimizing future smart city concept development for managing health care disaster relief operations:
Junyi Zhang (2020). Transport policymaking that accounts for COVID-19 and future public health threats: A PASS approach, Transport Policy, Volume 99, December 2020, Pages 405-418, Open access:Article Transport policymaking that accounts for the COVID-19 and fu...
Yours sincerely, Bulcsu Szekely
Dear Lecturer. I know that ANN and Fuzzy Systems from artificial intelligent algorithms are used in transportation systems. ANN provides the most accurate prediction to make learning data. Fuzzy systems allows us to include intermediate values exept of the normal set logic in the model.Because the real life of people is not just made up of net values like 0 and 1. Fuzzy logic enables linguistic intermediate values to be encoded into computers. These algorithms are used especially road transportation like smart traffic lights. Thus, fuel and time optimization is provided by reducing the waiting in traffic.
For traffic signal control, you can refer to the below survey:
Article A Review on Swarm Intelligence and Evolutionary Algorithms f...
The following article provides a thorough discussion that can answer this question from different perspectives, namely hardware devices, ITS, and ML. This survey reviews the recent literature of ML-driven ITS, in which MHDs were utilized, with a focus on performance indicators. A taxonomy is then synthesized, giving a complete representation of what the current capabilities of the surveyed ITS rely on in terms of ML techniques and technological infrastructure. To alleviate the difficulties faced in the non-trivial task of selecting suitable ML techniques and MHDs for an ITS with a specific complexity level, a performance evaluation framework is proposed. The presented survey sets the basis for developing suitable hardware, facilitating the integration of ML within ITS, and bridging the gap between research and real-world deployments.
Article Intelligent Transportation Systems: A Survey on Modern Hardw...
Delays and losses due to the transfer of information to the cloud and then its return have a negative role in intelligent transportation. Cloud computing is a new concept in the world of technology and communications in which cloud computing extends to the edges of the network to reduce latency and congestion. It is processed using batch processing models due to the large amount of information in the cloud, which is not suitable for real-time operation. But the cloud computing infrastructure allows for quick access to information and instant processing.
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