AI Agents, Agentic AI Reasoning and Smart Cities
Table of Contents
Artificial Intelligence is humanity’s biggest invention so far, it will revolutionize the way we live and interact with the world, even with space and time. AI has already helped achieve what humans were unable to do, and enabled human beings to do tasks beyond their imaginations. It revolutionized industries across the globe by enabling them to automate complex tasks, enhancing data-driven decision making, and altering the way businesses, governments and individuals wield.
With the emergence of autonomous AI systems and agentic AI reasoning, we are able to build Intelligent Agents that are changing everything we are familiar with, from answering calls, to handling business queries and generating real-time reports. AI agents can analyze queries, interact with their environment, learn from it and make decisions that impact, in a goal oriented way. AI agents, unlike pre-programmed agents, are autonomously able to learn, adapt and make complex decisions, which are transforming industries and changing human lives.
How AI Agents Work
AI Agents collect data from user inputs, sensor data, and from their provided environment, then process the data using analytics and machine learning combinations to provide real-time interpretation of the data and decision making, and take action based on their predetermined set of goals. These Intelligent Agents are altering various facets of industries and everyday life, including:
- Business Applications: Ai Agents enables businesses to automate repetitive operations to manage and engage with customer queries, workflow management, enhance efficiency of supply chains, and predictive analytical reports.
- Enterprise Solutions: Large scale enterprises and companies use AI agents for their tech operations, automation of workflow processes, improving productivity by minimizing risk of human error and workload management.
- End-User Daily Life: A regular end-user leverages AI Assistants, Smart devices and Appliances, Personal AI assistants for AI-powered recommendations to enhance personal productivity and convenience.
Application in Smart Cities and Mobility
Creating Smart cities and AI Mobility, AI Agents are proved to be powerful tools, here are some of the major use cases where agentic AI reasoning proved that AI agents are true game-changers.
1. Traffic Management
With the gradual and rapid growth in motor vehicles, increased pollution and Urban traffic snarl are crucial challenges in major cities across the globe. With the help of AI agents, cities and their traffic plans can be efficiently designed to adjust and smooth the traffic flow systems. analysing actual traffic data and flow of traffic, AI agents can re-route the traffic by adjusting signals to reduce traffic jams and congestions.
For Example, in Smart cities, AI Agents can dynamically change the time-duration of signalling lights at traffic signals based on actual data collected, to streamline the traffic flow and wait time resulting in saving time and reduced carbon emission. Sydney Coordinated Adaptive Traffic System implemented AI Traffic management systems to various cities globally. Read here! .
2. Public Transportation
Public transportation is the fundamental base of mobility in smart cities, with AI Assistants and AI-driven ticketing systems enhancing urban mobility efficiency at scale. By analyzing real-time, and time-based historical data, AI Agents and assistants are optimizing Public transport (Trams, Buses and trains) schedules.
For Instance, by predicting peak hours of commuters and suggesting additional transit services, Artificial intelligence lodges high commute volumes. Some modern and smart cities are implementing AI Chatbots and AI assistants to accommodate and help local passengers with actual route information, and better navigation to complex transport systems. Read here, how cities are adopting AI for Public transportation.
3. Autonomous Vehicles and Ridesharing
In the race of becoming smart cities with the use of Autonomous AI Assistants and Intelligent Agents, driverless vehicles and ridesharing services are gaining popularity and are transforming Urban mobility. Using Machine learning, Agentive AI powered autonomous vehicles are able to make instant decisions based on traffic congestion and conditions, pedestrian movements, signals and signs for smooth rides and saving travel time.
Uber, Lyft, Waymo One by google, Cruise, Apollo Go by Baidu and more other ride-sharing and autonomouse driverless services are utilizing Artificial Intelligence to provide commuters with optimized pricing, reduced travel time and match them with suitable and exact routes. Also provide driverless vehicles that can analyze traffic factors, demand, weather conditions and traffic jams to adjust fares dynamically.
4. Pedestrian Safety and Accident Prevention
With the growing traffic and vehicle occupancies, Pedestrian safety is a crucial and important issue to consider. AI agents can monitor street and traffic cameras, traffic movements, and signal’s data to enhance safety and alter conditions accordingly by alerting drivers and in any unwanted situation, AI agents can coordinate with emergency services to act in-time.
AI powered public security and surveillance systems can identify jaywalkers, kids, or elderly citizens, and can alert nearby drivers about the potential collisions and direct them to slow down. Some smart cities have implemented AI-powered surveillance systems that can detect and trigger flash warnings in high traffic areas.
5. Energy-Efficient Smart Cities
AI Agents and autonomous AI Assistants can manage smart electricity distribution with intelligent decision making across urban areas to make sure the balance by analyzing usage data and statistics to conserve energy. AI Agents can also control and schedule street lights according to the weather conditions and time of the day and night.
Barcelona is one of the emerging smart cities, and it has integrated AI Assistants for smart street lighting systems to reduce the excess and unused energy utilization. Read here!
6. AI-Powered Urban Planning
Urban planning requires large-scale Demographic (population density, age distribution, household structures, migration patterns), Geographic & Environment (topography, climate, soil condition, natural disasters), Land uses & Zoning (land uses, zoning laws, development plans), Infrastructure & Utilities (road & transportation, water supply & sewage, energy supply, communication network), Economic & Employment, Mobility & Transportation, Social & Public Services, Environmental Sustainability, Smart City & Technology, Citizen Engagement & Satisfaction, to transform Urban developments into smart cities.
AI agents are being used by municipalities and government bodies to analyse these extensive data sets to plan and build cities that sustain and thrive. AI assistants can simulate different options for urban planning to enable developers to make actionable plans for the right and viable option.
7. Smart Parking Solutions
AI-driven smart parking solutions leverage Agentic AI for optimized parking availability. AI Agents and AI assistants integrated into smart parking systems use, transform and interpret data gathered from integrated sensors on parking spots, IoT, computer AI and ML, and analyze the availability of parking spots to reduce urban congestions, resulting in enhanced user experience.
For example, As a part of urban planning and mobility management, smart cities Like San Francisco, USA launched SFpark. With embedded sensors in parking spots, SFpark detects availability and transmits data to the central system.
8. AI Assistants for Public Services
Governments and private public service providers are using intelligent virtual assistants and AI agents for service delivery and support services. Governments deployed chatbots to answer FAQs about public services like tax tariffs, permits and transit schedules etc. Healthcare industry is utilizing artificial intelligence for disease diagnosis and symptoms analysis, automatic query responses and direct patients to relevant care.
For example, Los Angeles Chip, a voice assistant for citizen support, is helping users with the complex process of issues reporting and benefit applications. New York’s Northwell Health, a non-profit health organization, launched its virtual assistant for primary diagnosis and patient directions.
9. AI for Air Quality and Pollution Control
AI is revolutionizing how governments and private bodies improve and monitor air quality and pollution control amid this growing health issue. AI assistants analyze data autonomously from weather models, satellites and sensors to provide real-time insights on forecasts, and actionable plans to improve airquality and reduce pollution.
China is advancing with it’s smart cities plan to reduce polution, reduced peak pollution levels by 15-20% by deploying AI that utilize Gaofan satellite’s remote sensing data and ground sensors’ data for industrial emissions to identify pollutions factors. Google’s Environmental Insights Explorer uses google map data to estimate city level emissions and build policies to reduce emission by 10%.
10. Enhanced Emergency Response
Autonomous AI Assistants analyze historical data, weather patterns and data from Iots, enabling fast, facts-driven resposes and decisions in crises like natural desaster OR public health emergencies. AI is helping emergency first response units to allocate needed resources effectively, prioritize actions to save lives, with the integrations of real data, predictive analytics and automations.
For instance, Houston USA, one of the leading smart cities, deployed IBM’s Geospatial Analytics, formerly Known as IBM’s PAIRS Geoscope, predicts flood areas during hurricane and guides firs responders for evacuation or primary action plan, reducing casualties by 30% during Hurricane Harvey in 2017. Rwanda and Ghana are using autonomous medical drone delivery in rural areas that utilize AI route optimization to reduce delivery time from 4 hours to 15 minutes, saving precious lives.
Building AI Agents With Less or No-Code
With the growing demand of Artificially intelligent virtual assistants and agents, AI has so much to offer. Building and deploying AI Agents has become easier with AI API platforms that has tools to enable developers, businesses and individuals to create their own AI Agents for their specific set of tasks without having deep knowledge of programming and machine learning.
Some popular no-code or low-code platforms include:
- Taam Cloud – A powerful AI API Plarform with no-code interface, enables development of AI agent and AI-powered application for workflow automation, AI-powered content creation, and enhanced decision making.
- Zapier AI – it offers workflow automation through advanced AI agents to connect external applications and platforms without the need of coding experience.
- OpenAI API – Open Ai API platform offers developers to integrate its powerful and advanced AI models into their applications with NLP (Natural Language Processing) and automation.
- Pega AI – Designed for enterprise and large-scale business workflow automations, for smooth business operation and to enhance productive efficiency.
Learn more about AI Chatbots and agents!
Build Your Own AI Agent
Are you ready to build and deploy your own AI agent?
Building AI Agents or utilizing AI capabilities for business, enterprises and public services, has become so easy that a non-technical user can build their own Intelligent virtual assistants with no-code to automate day-to-day tasks. With Taam Cloud, Anyone can develop, test, and deploy their customized AI Agents with ease. So let’s get started to automate your work and life.
