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If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
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All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
Over the last few years, the vehicular traffic in the big cities has become overcongested. This has led to people wasting valuable time remaining in traffic jams. Traditional approaches to solve our traffic problems are no longer feasible. We cannot add more lanes to already multiple lane roadways because the costs of this approach are just too big. The purpose of this study was to investigate the possibilities of automating vehicular traffic and decrease traffic congestion by developing an intelligent driver agent model that autonomously navigates through a computer simulated traffic network. The aim was to examine various pathfinding algorithms and cost evaluation functions through different traffic conditions so that a basic intelligent driver agent model is designed using the best combination of algorithms and cost functions found. The results gathered and their analysis should help shed some light on the usability of the various pathfinding algorithms and cost evaluation functions for the purpose of creating an intelligent autonomous traffic agent, and should be especially useful to professionals in the Computer Simulation and Artificial Intelligence fields.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.