#trafficmanagement — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #trafficmanagement, aggregated by home.social.
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https://www.europesays.com/dk/81391/ Helsinki’s Bold Step: Investing in Cycling and Public Transport #BicycleLanes #BridgeProject #CityPlanning #CyclePaths #CyclingInfrastructure #Finland #helsinki #PedestrianFriendly #PublicTransport #TrafficManagement #UrbanDevelopment
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FYI: Blocking AI crawlers cost news publishers 7% of traffic, study finds: A Wharton and Rutgers study finds news publishers who blocked LLM crawlers lost 7% of weekly traffic in 6 weeks, with no measurable content protection gains. https://ppc.land/blocking-ai-crawlers-cost-news-publishers-7-of-traffic-study-finds/ #ArtificialIntelligence #NewsPublishing #DigitalMarketing #TrafficManagement #ContentProtection
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SK Telecom and KT deploy AI-powered network systems including A-One and W-SDN for BTS concert at Gwanghwamun, installing mobile base stations and deploying specialists to manage ultra-dense traffic and ensure stable communication services for large-scale K-pop event on March 21st.
#YonhapInfomax #SKTelecom #KTCorp #AINetwork #BTSConcert #TrafficManagement #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
https://en.infomaxai.com/news/articleView.html?idxno=109945 -
SK Telecom and KT deploy AI-powered network systems including A-One and W-SDN for BTS concert at Gwanghwamun, installing mobile base stations and deploying specialists to manage ultra-dense traffic and ensure stable communication services for large-scale K-pop event on March 21st.
#YonhapInfomax #SKTelecom #KTCorp #AINetwork #BTSConcert #TrafficManagement #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
https://en.infomaxai.com/news/articleView.html?idxno=109945 -
SK Telecom and KT deploy AI-powered network systems including A-One and W-SDN for BTS concert at Gwanghwamun, installing mobile base stations and deploying specialists to manage ultra-dense traffic and ensure stable communication services for large-scale K-pop event on March 21st.
#YonhapInfomax #SKTelecom #KTCorp #AINetwork #BTSConcert #TrafficManagement #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
https://en.infomaxai.com/news/articleView.html?idxno=109945 -
SK Telecom and KT deploy AI-powered network systems including A-One and W-SDN for BTS concert at Gwanghwamun, installing mobile base stations and deploying specialists to manage ultra-dense traffic and ensure stable communication services for large-scale K-pop event on March 21st.
#YonhapInfomax #SKTelecom #KTCorp #AINetwork #BTSConcert #TrafficManagement #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
https://en.infomaxai.com/news/articleView.html?idxno=109945 -
Meet our Smart Mobility experts at Intertraffic Amsterdam 2026!
🗓 March 10–13
📍 Berlin Partner booth 03.208, RAI Amsterdam🚴🏻 AI, simulation and digital twins for safer and greener mobility. Book a meeting: 📲 https://www.fokus.fraunhofer.de/en/newsroom/events/intertraffic_2026.html
#Intertraffic2026 #UrbanMobility #TrafficManagement #ITS #AIinMobility #Bicycle
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Your #cyclingfallacy is…
“People frequently break the rules of the road when cycling (ignoring red lights, etc.)”
https://www.cyclingfallacies.org/en/people-break-the-rules-when-cycling.html
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A Tamil Nadu bank manager is going beyond banking—Satyanarayanan from Tiruvottiyur helps local police manage traffic during his off days, proving small acts of service make a big impact. https://english.mathrubhumi.com/multimedia/videos/tamil-nadu-bank-employee-volunteer-manage-traffic-gik4sh0o?utm_source=dlvr.it&utm_medium=mastodon #Tiruvottiyur #TamilNadu #TrafficManagement #BankEmployee
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Doanh nghiệp hàng đầu xây dựng nền tảng quản lý giao thông AI: Cổng thông tin APISIX AI trong thực tế #AI #APISIX #TrafficManagement #IntelligentGovernance #Tech #CôngNghệ #QuảnLýGiaoThông #TríTuệNhânTạo
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Microsoft Advertising requires Clarity for third-party publishers: Microsoft Advertising mandates Clarity installation across all third-party publishers starting immediately, filtering non-compliant traffic as nonbillable. https://ppc.land/microsoft-advertising-requires-clarity-for-third-party-publishers/ #MicrosoftAdvertising #Clarity #DigitalMarketing #PPC #TrafficManagement
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MENA Smart Cities and Urban Planning
Author(s): Scott Douglas Jacobsen
Publication (Outlet/Website): The Good Men Project
Publication Date (yyyy/mm/dd): 2025/04/21
Felipe Renom, an AI engineer and chatbot specialist, focuses on AI applications in smart cities, particularly in Uruguay and South America. He emphasizes AI-driven urban planning, governance, and sustainability, advocating for a balanced approach between automation and human oversight. Renom highlights AI’s role in traffic management, predictive analytics, and economic growth while stressing the importance of high-quality data. He discusses the challenges of AI integration, the evolving role of AI in governance, and future advancements in smart cities. Comparing Uruguay and the Middle East, he underscores differences in technological adoption and infrastructure development. AI, he concludes, will drive urban progress.
Scott Douglas Jacobsen: Okay, we are here with Felipe today. Felipe Renom is an AI engineer and chatbot specialist with expertise in smart city intelligence applications. He explores AI-driven urban planning, governance, and sustainability innovations, particularly in Uruguay and South America. His expertise spans traffic management, energy optimization, and predictive analytics, ensuring cities become more livable, efficient, and human-centric. Felipe advocates for a balanced approach to automation, integrating AI while maintaining human oversight to build trust and inclusivity. He believes AI adaptability is key to meeting the evolving demands of urban landscapes and driving the future of sustainable cities. So, the first question is: How is AI being implemented in various smart city projects? What is the range of AI integration into urban infrastructure?
Felipe Renom: It depends on each city’s infrastructure, but we start with the foundational aspects. The most basic applications include digitalization processes, such as obtaining a passport without visiting an agency or making a phone call. From there, we innovate extensively in traffic management and computer vision, such as analyzing congestion levels on specific roads to optimize traffic flow and prevent overcrowding.
We also focus on internal clients. I work with many public sector organizations that implement AI solutions internally before rolling them out to the general public. They develop infrastructure and systems that allow employees to work more efficiently, ultimately improving the quality and effectiveness of public services.
Jacobsen: Sustainability is now a major topic. People are increasingly concerned about anthropogenic climate change and human-induced environmental shifts. How is AI helping enhance the sustainability of urban environments? Urban areas are typically associated with higher pollution levels.
Renom: Computer vision is a technology that analyzes videos and images. With this, you can identify, for example, how many cars there are in a live camera feed or drone footage. This analysis helps reduce congestion by providing real-time data that can be used to optimize traffic flow and urban planning. It all comes down to data. Sustainability is also a crucial aspect, and governments in South America are investing significantly in these areas.
Jacobsen: What about traffic management systems to reduce congestion and improve mobility?
Renom: Yes, AI is heavily utilized for traffic management. Computer vision plays a significant role, but other systems are also integrated into the process. The key component, however, is data. You need high-quality, structured data to make these systems effective. Governments must invest heavily in collecting and maintaining reliable datasets before implementing smart city developments. Without accurate data, even the most advanced AI models will be ineffective. That is the foundation on which all intelligent urban solutions should be built.
Jacobsen: What about the improvement of governance structures via artificial intelligence? And how do you ensure human oversight in AI-assisted decision-making within public services?
Renom: That is a fascinating question—I love this topic because governments must prioritize it. The first step is securing high-quality data so AI engineers like me can work efficiently and produce optimal results. Governments have two options: hire consultancy firms specializing in AI or build internal AI teams within public institutions. Ideally, they should do both—engaging external expertise while also developing in-house capabilities.
Data engineers play a critical role in this ecosystem. They are responsible for gathering, structuring, and maintaining datasets that power AI models. My work depends on the quality of the data they provide. AI models, including large language models (LLMs) and AI chatbots, do not function autonomously—they require structured input and careful prompting to generate meaningful results. I see AI as a co-pilot rather than an independent decision-maker. The key is understanding how to properly prompt these models, whether running on cloud-based infrastructure or on-premise government systems. AI should be a tool that enhances governance rather than replacing human decision-making.
Jacobsen: Now, urban infrastructure is important. The integration of AI into urban infrastructure comes with challenges despite its promises. What are the primary challenges of AI integration into urban centers? And on the positive side, what are the economic benefits for smart cities when AI-driven solutions are successfully implemented?
Renom: All right. We talk about systems, we talk about AI, we talk about AI engineers, but now we need to talk about citizens and people. People also need to be prepared to adopt artificial intelligence in smart cities. Some older individuals in society naturally show more resistance to AI and prefer traditional, old-school solutions. However, younger generations—like myself, as I am 26—tend to embrace AI much more because it is faster and eliminates unnecessary steps. For example, instead of visiting an agency in person to book an appointment for a passport, AI allows users to complete the process seamlessly online. That is why I believe people are a critical part of this equation.
Regarding economic growth, AI is playing a crucial role in shaping the global economy. If you look at the stock market, technology and AI-driven companies have experienced tremendous growth in the past couple of years. A prime example is NVIDIA, which has seen a massive surge in stock value. NVIDIA is the leading provider of GPUs for AI companies, making it a symbol of AI innovation in the stock market. Their growth reflects the increasing investment and confidence in AI technology. By analyzing market trends, we can see where we are now and predict where we are heading in the coming years. From an economic perspective, AI is a major growth driver, not only because it is a hot topic globally but because financial markets are already showing evidence of its long-term impact.
Additionally, electronic payments are another technological advancement that contributes to economic growth. While not strictly AI, digital transactions have revolutionized how people conduct business, reducing the need for physical cash. This shift has been a game-changer. AI will continue to drive economic expansion—not just because it is trending but because global financial data indicates that AI is directly linked to economic progress.
Jacobsen: What about human decision-making as an oversight in AI integration and the maintenance of a human- or people-focused smart city rather than one overly reliant on surveillance, automation, and similar technologies?
Renom: What exactly do you mean by a people-focused smart city?
Jacobsen: One where the city is designed to cater more to the needs of the citizens rather than overemphasizing surveillance or minimizing human intervention at key points through automation.
Renom: All right. I think it isn’t easy to develop truly people-focused artificial intelligence systems, such as chatbots, because of the current state of AI technology. Right now, it is challenging to deploy AI solutions directly to end users because chatbots still have the potential to generate inappropriate or incorrect responses. This risk requires a high level of caution.
AI should first be deployed for internal users, such as government employees or public agency staff, rather than the general public. There is a significant risk when AI interacts directly with end users because people often try to manipulate AI systems, and AI frequently falls for these tricks.
A well-known example of why such precautions are necessary is Chevrolet’s chatbot incident. Chevrolet launched a chatbot, and someone tricked it into agreeing to sell a car for $1. The company had no choice but to honour the sale, resulting in significant losses. This case illustrates why businesses, governments, and other institutions must be extremely careful when deploying AI systems to the public. If AI is not properly safeguarded, the consequences can be severe.
Jacobsen: For those who may not be familiar with predictive analytics, what is it? How does it apply to urban development, and how does it help city planners make data-driven decisions?
Renom: All right. First, let me explain predictive analytics. It is a branch of AI that includes machine learning, which analyzes historical data to forecast future trends. Machine learning learns from past patterns and adjusts to minimize prediction errors. That is why training an AI model teaches it to recognize mistakes and improve over time.
A simple example is ChatGPT. When you input a question or prompt, ChatGPT predicts the next word in a sequence based on the context of previous words. It keeps generating words one after another based on probability, which is a fundamental example of predictive analytics in action.
Predictive analytics is widely used in finance in practical applications. For example, Yahoo Finance provides historical data on stock prices, and AI models can analyze that data to predict future stock trends. However, this concept applies to countless industries.
In the public sector and smart city development, predictive analytics can forecast energy consumption, estimate municipal budgets, or anticipate infrastructure needs. However, one issue I see is that governments are investing heavily in AI but sometimes overlook the importance of machine learning, which plays a crucial role in data-driven decision-making. Machine learning offers different types of solutions that AI alone does not provide, and it should not be skipped in the development of smart city initiatives.
Jacobsen: If you compare the Middle East and North Africa (MENA) region with Uruguay, what are some common challenges in building smart cities? What might be some unique challenges in each context? What are the similarities and differences?
Renom: All right. I visited the Middle East in 2022, and I noticed incredible growth. I was in Doha, Qatar, and they are far more advanced than we are here. One of the major challenges they face is traffic management, along with military-related technologies. Many military advancements can be implemented and optimized using AI and machine learning.
If I compare Uruguay to Uruguay, we have significant work to do when it comes to smart city development. One of the biggest challenges here is traffic—both car traffic and public transportation. Road congestion increases as more vehicles are sold, but our infrastructure is not keeping pace with this growth. Addressing these issues should be a priority.
Jacobsen: If you were to project forward a decade, how do you see smart cities progressing? I take into account the fact that AI is becoming more sophisticated at a rate beyond exponential. So, 10 years chronologically is not just a regular decade of development. In historical terms, it could be the equivalent of a century of progress compressed into 10 years.
Renom: Yes, we will see much more advanced smart city technologies, but we will not be looking at futuristic cities with flying cars—no way. We will certainly be in a much better position than we are now, but there will still be much work to do.
Cities will be significantly more automated and focused on user experience. Self-service infrastructure will expand, with fewer human interactions and more interactions with AI-driven systems. People will engage with machines and automation much more than they do today. That is the direction we are heading in over the next decade.
Jacobsen: Felipe, thank you very much for your time today. It was a pleasure to meet you, and I appreciate your expertise.
Renom: Thank you.
Last updated May 3, 2025. These terms govern all In Sight Publishing content—past, present, and future—and supersede any prior notices. In Sight Publishing by Scott Douglas Jacobsen is licensed under a Creative Commons BY‑NC‑ND 4.0; © In Sight Publishing by Scott Douglas Jacobsen 2012–Present. All trademarks, performances, databases & branding are owned by their rights holders; no use without permission. Unauthorized copying, modification, framing or public communication is prohibited. External links are not endorsed. Cookies & tracking require consent, and data processing complies with PIPEDA & GDPR; no data from children < 13 (COPPA). Content meets WCAG 2.1 AA under the Accessible Canada Act & is preserved in open archival formats with backups. Excerpts & links require full credit & hyperlink; limited quoting under fair-dealing & fair-use. All content is informational; no liability for errors or omissions: Feedback welcome, and verified errors corrected promptly. For permissions or DMCA notices, email: [email protected]. Site use is governed by BC laws; content is “as‑is,” liability limited, users indemnify us; moral, performers’ & database sui generis rights reserved.
#predictiveAnalytics #smartCities #sustainableDevelopment #trafficManagement #urbanPlanning
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NATO warns of state-linked cyberattacks on Europe’s civilian ports, exposing critical gaps in maritime defense https://www.byteseu.com/1236378/ #AccessControl #APTs #CCDCOE #ControlSystems #CriticalInfrastructure #CyberRisks #CyberThreats #cyberattacks #EnergySystem #Europe #ICT #InfrastructureRisks #MaritimeDefense #MaritimeSecurity #MaritimeStrategy #NATO #OT #PhysicalInfrastructure #PortInfrastructure #Ports #TrafficManagement #VesselTraffic #vulnerabilities
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Changes since congestion pricing started in New York
https://www.nytimes.com/interactive/2025/05/11/upshot/congestion-pricing.html
#HackerNews #congestionpricing #NewYork #transportation #changes #urbanplanning #trafficmanagement
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A bold view on tech in our cities; join the chat! #SmartCities, #UrbanComputing, #IoTSensors, #DataAnalytics, #TrafficManagement, #EnergyDistribution, #Art
https://medium.com/@sanjay.mohindroo66/smart-cities-urban-computing-the-pulse-of-our-urban-future-4600b3107eb3 -
Congestion Pricing Is a Policy Miracle
https://bettercities.substack.com/p/congestion-pricing-is-a-policy-miracle
#HackerNews #CongestionPricing #PolicyMiracle #UrbanPlanning #TrafficManagement #SustainableCities
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दिल्ली से गुजरने वालों ! रूट डायवर्जन देखकर ही आगे बढ़ें, कांवड़ यात्रा के कारण दिल्ली-मेरठ एक्सप्रेस-वे सहित कई रास्ते बन्द।
https://aliyesha.com/sub/articles/news/display/nd_road_diversions_kanwar_yatra_delhi_meerut
#newdelhi #delhi #india #press #news
#kanwar #kanwaryatra #traffic #trafficmanagement #road #roadways #reroute #diversion #religion #hindu #hinduismEnjoy tracker free news reading with us. #privacy #privacymatters
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🙏 Thanks to the NewsBreak magazine for the article about RELIANOID ADC solutions.
We'll keep on working on it!
https://www.relianoid.com/about-us/relianoid-related-articles/
#ITInfrastructure #LoadBalancers #NetworkManagement #Uptime #PerformanceOptimization #TrafficManagement #ServerHealth #SSLoffloading #RELIANOID #ADCmarket #GSLB #IntelligentTraffic #Scalability #SecurityIntegration #DDoSProtection
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दुपहिया वाहनों पर दोनो पहने हेलमेट: मुख्य सचिव।
https://aliyesha.com/sub/articles/news/display/uk_helmet_compulsory_both_riders_two_wheelers
#uttarakhand #dehradun #india #news #press #politics #bjp #government #governance #roads #roadsafety #traffic #trafficrules #drivesafe #trafficmanagement #accidents #roadaccidents #drone #drones
Enjoy tracker free news reading with us. #privacy #privacymatters
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Town prepping for once-in-a-lifetime solar eclipse this spring
#Niagara #Ontario #Canada #NiagaraEclipse #SpringEclipse #SafetyPrep #TrafficManagement #CollaborationInProgress #OptimalViewingExperience #Science #Eclipse
https://the-14.com/town-prepping-for-once-in-a-lifetime-solar-eclipse-this-spring/ -
RT by @CORDIS_EU: The #H2020 #FRONTIER_eu project developed a dashboard facilitating cross-stakeholder collaboration for holistic management of the #transportnetwork at the corridor level
Learn more at 👉 https://bit.ly/473bPuK #HorizonEU
@HorizonEU#trafficmanagement
@CIVITAS_EU
@CORDIS_EU🐦🔗: https://nitter.cz/FRONTIER_EU/status/1753062144566796381#m
[2024-02-01 14:26 UTC]
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RT by @CORDIS_EU: The #H2020 #FRONTIER_eu project developed a dashboard facilitating cross-stakeholder collaboration for holistic management of the #transportnetwork at the corridor level
Learn more at 👉 https://bit.ly/473bPuK #HorizonEU
@HorizonEU#trafficmanagement
@CIVITAS_EU
@CORDIS_EU🐦🔗: https://nitter.cz/FRONTIER_EU/status/1753062144566796381#m
[2024-02-01 14:26 UTC]
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RT by @CORDIS_EU: The #H2020 #FRONTIER_eu project developed a dashboard facilitating cross-stakeholder collaboration for holistic management of the #transportnetwork at the corridor level
Learn more at 👉 https://bit.ly/473bPuK #HorizonEU
@HorizonEU#trafficmanagement
@CIVITAS_EU
@CORDIS_EU🐦🔗: https://nitter.cz/FRONTIER_EU/status/1753062144566796381#m
[2024-02-01 14:26 UTC]
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RT by @CORDIS_EU: The FRONTIER #H2020 Project develops an automated approach and integrates a tool for generating and evaluating #trafficincident response plans 👉 https://bit.ly/3QdGIWT #FRONTIER_eu #HorizonEU
@HorizonEU#transportmanagement #trafficmanagement
@civitas_eu
@CORDIS_EU @cinea_EU🐦🔗: https://nitter.cz/FRONTIER_EU/status/1745076866464059684#m
[2024-01-10 13:35 UTC]
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RT by @CORDIS_EU: The FRONTIER #H2020 Project develops an automated approach and integrates a tool for generating and evaluating #trafficincident response plans 👉 https://bit.ly/3QdGIWT #FRONTIER_eu #HorizonEU
@HorizonEU#transportmanagement #trafficmanagement
@civitas_eu
@CORDIS_EU @cinea_EU🐦🔗: https://nitter.cz/FRONTIER_EU/status/1745076866464059684#m
[2024-01-10 13:35 UTC]
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RT by @CORDIS_EU: The FRONTIER #H2020 Project develops an automated approach and integrates a tool for generating and evaluating #trafficincident response plans 👉 https://bit.ly/3QdGIWT #FRONTIER_eu #HorizonEU
@HorizonEU#transportmanagement #trafficmanagement
@civitas_eu
@CORDIS_EU @cinea_EU🐦🔗: https://nitter.cz/FRONTIER_EU/status/1745076866464059684#m
[2024-01-10 13:35 UTC]
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9-Nov-2023
Developing next-gen #traffic signal control systems with air quality in mindYu Yang applies advanced machine learning techniques in NSF-funded research on #trafficManagement and #micromobility systems to reduce vehicle #emissions and grow use of electric bikes and scooters
https://www.eurekalert.org/news-releases/1007561 #science #environment #pollution
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#BraessParadox - #Equilibria Gone Wild
https://www.youtube.com/watch?v=cALezV_Fwi0&ab_channel=UpandAtom
#DietrichBraess #Braess #Math #maths #Mathematics #TownPlanning #UrbanPlanning #RoadPlanning #RoadManagement #Traffic #TrafficManagement #Maps #Map #Mapping #NashEquilibrium #Selfishness #Choice #CollectiveIntelligence #GameTheory #Physics #Jade
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VALUE and PRICE
A Regional Manager for a public utility had me fly to the East Coast and do some custom work at several electric power plants. It involved working with the ICS technicians and teaching them how to do certain things on their own. The work took several days, and by the time the daily rate was added up for the whole trip it was a large invoice. My insecurities kicked in, and I was concerned that the Regional Manager might have a heart attack when he saw the bill – even though he and I had talked about the daily rate, and how long I would be at each power plant.I emailed the invoice, and I received prompt payment.
But still, I wondered if I would ever hear from him again. Was there any opportunity for repeat business, or had I blown it with one big invoice?
I gave him a call and asked, “Was that invoice okay? Did I charge too much? If you think I should lower my daily rate, I will, because I really want your ongoing business.”
He replied, “Bob, let me explain something to you. First, you’re right, your charges are higher than most of our vendors that come on site. You’re not the highest, but you’re close. But here’s what matters: you bring value. Some consultants I don’t pay as much, but after they leave, I’m left wondering, ‘Was it worth having them come at all?’ But when you left, I didn’t wonder. From every plant, I got phone calls and emails from people who told me how much benefit they received from your visit. So, yes, you’re on the high end, but don’t lower your rate. It’s fine.”
That company is still a client today, and post-COVID, my rates have gone up.
THE LESSON
As a consultant, your goal is not to cost less than the competition. Your goal is to bring more value than the competition.#callmeifyouneedme #fifonetworks
#ics #troubleshooting #networks #wireless #voip #bandwidth #trafficmanagement #more
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Low Traffic Neighbourhoods evaporate traffic by about a third, which benefits everyone including vehicle drivers.
In terms of traffic displacement, LTNs are broadly neutral, increases and reductions of traffic on peripheral roads balance each other out.
https://www.theguardian.com/uk-news/2023/jan/19/low-traffic-neighbourhoods-boundary-roads-london
#LTN #LowTrafficNeighbourhood #LiveableTowns #TrafficManagement #ActiveTravel
