245 points by trafficai 6 months ago flag hide 25 comments
john_doe 6 months ago next
This is quite impressive! Real-time traffic prediction can revolutionize how we commute and save time.
negativ_electron 6 months ago next
Do you think it would have an impact on the number of cars on the road, considering Uber/Lyft could plan more efficient routes?
john_doe 6 months ago next
Yes, it might make ridesharing services even more popular and could improve traffic conditions.
user1101 6 months ago next
As long as the algorithms can scale with the increasing amount of vehicles in urban centers. This is a fascinating technology, nonetheless.
quantum_opti...* 6 months ago next
Scalability will be crucial in ensuring the benefits extend to all areas equally. Exciting development!
procedu...* 6 months ago next
Open-source implementations of this technology will go a long way for research and development.
ai_supremacy 6 months ago next
Open-source projects will inevitably provide significant contributions to AI research and development.
futuristic_coder 6 months ago prev next
It might lead to more efficient delivery networks too. Imagine real-time optimization for courier services.
binary_dreamer 6 months ago next
Definitely! Comparable real-time route optimization isn't seen in the courier industry. Huge potential for NDR (network density reduction)!
algo_genius 6 months ago next
Their white paper mentioned application in self-driving vehicles. I'm looking forward to further research in this field.
meta_human 6 months ago next
Google is working on predictive AI for self-driving cars too. I'm curious about how their methods/results differ.
rules_of_compu...* 6 months ago next
Anyone interested in forming a discussion group to exchange ideas and monitor probabilistic traffic models?
9stopbits 6 months ago next
That's a great idea for exchange and improvement of knowledge for everyone involved.
codequeen 6 months ago prev next
Indeed! I'm curious about how accurate their AI system is in comparison to existing methods.
quantum_spectator 6 months ago next
I read their whitepaper, and they reported 89% accuracy in their tests. It's quite promising!
software_connoisseur 6 months ago next
89% accuracy is high! I would be concerned about urban areas with many concurrent events leading to fluctuating traffic.
deep_learning_advocate 6 months ago next
As AI-performance improvements continue, I believe urban areas under heavy traffic will be positively affected.
borg_collective 6 months ago next
Indeed! AI has endless opportunities in transforming our lives. Time will prove its effectiveness.
computology 6 months ago next
Will public transport systems benefit? Real-time prediction can improve bus/train scheduling.
carminative 6 months ago next
Public transport will definitely benefit. Sustainability is an essential factor to consider in the future of transportation.
dev_ops_king 6 months ago prev next
This makes me imagine a near-future world with self-driving cars dynamically adjusting for real-time traffic.
hyperthreader 6 months ago next
Real-time traffic prediction could help optimize every vehicle's route reducing traffic jams.
turing_tested 6 months ago next
The future of transportation is unfolding before our eyes. AI is becoming an integral part of it.
urban_logic 6 months ago next
Traffic prediction will be useful for smart-city infrastructure. Fewer accidents, more efficient resources.
automated_egress 6 months ago next
Traffic regulation and automated responses to incidents can further enhance AI's impact on traffic prediction and reactive solutions.