NEXT-GEN SMART MOBILITY MANAGEMENT FRAMEWORK

Abstract

ABSTRACT The present disclosure introduces a next-gen smart mobility management framework 100 which optimizes urban transportation using IoT sensors and devices 102 for real-time data on traffic flow, environmental conditions, and infrastructure health. It leverages an AI analytics engine 104 with data processing and predictive analytics to forecast traffic patterns. Adaptive traffic signal control system 106 adjusts signal timings, while dynamic routing system 108 provides optimal routing. Smart public transportation management system 110 enhances transit schedules, and vehicle-to-everything (v2x) communication system 112 enables data exchange between vehicles and infrastructure. Automated incident detection and response system 114 identifies and responds to accidents, and environmental monitoring and management system 116 tracks emissions, suggesting green routes. User-centric mobility services 118 offer personalized travel plans, and centralized management platform 120 integrates data, with data security and privacy system 122 and scalability and modular integration support 124 providing robust security and expandability.

Specification

Description:DETAILED DESCRIPTION

[00022] The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognise that other embodiments for carrying out or practising the present disclosure are also possible.

[00023] The description set forth below in connection with the appended drawings is intended as a description of certain embodiments of next-gen smart mobility management framework and is not intended to represent the only forms that may be developed or utilised. The description sets forth the various structures and/or functions in connection with the illustrated embodiments; however, it is to be understood that the disclosed embodiments are merely exemplary of the disclosure that may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimised to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention.

[00024] While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however, that it is not intended to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the disclosure.

[00025] The terms "comprises", "comprising", "include(s)", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, or system that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or system. In other words, one or more elements in a system or apparatus preceded by "comprises... a" does not, without more constraints, preclude the existence of other elements or additional elements in the system or apparatus.

[00026] In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings and which are shown by way of illustration-specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.

[00027] The present disclosure will be described herein below with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the description with unnecessary detail.

[00028] Referring to Fig. 1, next-gen smart mobility management framework 100 is disclosed, in accordance with one embodiment of the present invention. It comprises of IoT sensors and devices 102, AI analytics engine 104, adaptive traffic signal control system 106, dynamic routing system 108, smart public transportation management system 110, vehicle-to-everything (v2x) communication system 112, automated incident detection and response system 114, environmental monitoring and management system 116, user-centric mobility services 118, centralized management platform 120, data security and privacy system 122, scalability and modular integration support 124.

[00029] Referring to Fig. 1, the present disclosure provides details of next-gen smart mobility management framework 100. It is a comprehensive system that optimizes urban transportation by integrating real-time data analysis, adaptive traffic management, and user-centric services. In one embodiment, the smart mobility management framework 100 may include key components such as IoT sensors and devices 102, AI analytics engine 104, and adaptive traffic signal control system 106 to improve traffic flow and reduce congestion. The framework also incorporates dynamic routing system 108 and smart public transportation management system 110 to enhance public transport efficiency and provide optimal route suggestions. Additional components, vehicle-to-everything (v2x) communication system 112 and automated incident detection and response system 114, ensure safety and rapid response. It further incorporates environmental monitoring and management system 116 for eco-friendly routing, centralized management platform 120 for cohesive system control, and data security and privacy system 122 to protect user information.

[00030] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with IoT sensors and devices 102, which play a foundational role in gathering real-time data across urban areas. These sensors 102 are strategically deployed at intersections, roadways, and infrastructure points to monitor traffic flow, environmental conditions, and infrastructure health. IoT sensors and devices 102 continuously feed data into AI analytics engine 104, enabling proactive traffic and environmental management. They work in tandem with adaptive traffic signal control system 106 to optimize signal timings based on current conditions. Additionally, IoT sensors and devices 102 integrate with vehicle-to-everything (v2x) communication system 112 to share real-time road and traffic data with vehicles, enhancing safety and flow. IoT sensors and devices 102 are provided with different type of sensors in different embodiments. In one of the embodiments it is provided with traffic flow sensors that detect vehicle density, speed, and movement patterns, environmental sensors that measure air quality, temperature, humidity, and noise levels, and infrastructure sensors installed on critical structures, monitoring physical conditions like load, stress, and temperature.

[00031] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with AI analytics engine 104 which is a central component that processes data from various IoT sensors and devices 102 to derive actionable insights. AI analytics engine 104 utilizes machine learning algorithms to identify patterns, forecast traffic trends, and predict potential congestion points. It plays a vital role in adaptive traffic signal control system 106 by informing signal adjustments in real-time. Additionally, it enables dynamic routing system 108 to suggest optimal routes, ensuring smoother flow across urban networks. The engine is critical for smart public transportation management system 110, analyzing transit data to improve scheduling. AI analytics engine 104 comprises of a data processing module which is responsible for cleaning, aggregating, and analyzing incoming data streams from IoT sensors and devices 102 and a predictive analytics module that uses historical and real-time data to anticipate future traffic patterns, working closely with dynamic routing system 108 and environmental monitoring and management system 116.

[00032] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with adaptive traffic signal control system 106, which optimizes traffic light timings based on real-time data. Adaptive traffic signal control system 106 receives inputs from AI analytics engine 104 and IoT sensors and devices 102 to adjust signal durations dynamically. It helps alleviate traffic congestion, reduce travel times, and improve traffic flow. The system gives priority to emergency vehicles using data from vehicle-to-everything (v2x) communication system 112, ensuring quick and safe transit. It also works with dynamic routing system 108 to streamline intersection traffic. Adaptive traffic signal control system 106 is provided with a dynamic signal timing adjuster that adapts traffic light timings according to vehicle density detected by traffic flow sensors and an emergency vehicle priority system which coordinates with vehicle-to-everything (v2x) communication system 112 to provide green-light paths for emergency vehicles.

[00033] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with dynamic routing system 108, which provides optimal routing suggestions based on current conditions. Dynamic routing system 108 utilizes data from AI analytics engine 104 and IoT sensors and devices 102 to suggest routes for private vehicles, public transit, cyclists, and pedestrians. This system helps distribute traffic evenly and prevent bottlenecks. It also integrates with smart public transportation management system 110, providing multimodal routing options for users. Dynamic routing system 108 comprises of a real-time navigation module that continuously updates route suggestions based on traffic data from traffic flow sensors and a multimodal routing integration module that enables users to switch seamlessly between transportation modes, working closely with user-centric mobility services 118 for personalized routes.

[00034] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with smart public transportation management system 110, which optimizes public transit schedules and passenger experience. Smart public transportation management system 110 utilizes data from AI analytics engine 104 to minimize wait times and improve reliability. Real-time updates on schedules, delays, and service changes are shared with passengers via user-centric mobility services 118. The system also coordinates with dynamic routing system 108 to provide comprehensive, multimodal travel options. Smart public transportation management system 110 comprises of an AI-based scheduling module that predicts demand and adjusts schedules to reduce waiting periods and passenger information module that deliver real-time updates through mobile apps and public displays.

[00035] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with vehicle-to-everything (v2x) communication system 112, facilitating communication between vehicles, infrastructure, and traffic management centers. vehicle-to-everything (v2x) communication system 112 enhances safety and traffic efficiency by sharing real-time information. It allows vehicles to receive updates on road conditions and hazards and informs adaptive traffic signal control system 106 of approaching emergency vehicles, ensuring priority passage. The system integrates with user-centric mobility services 118 to improve personalized routing options. An inter-vehicle communication module within vehicle-to-everything (v2x) communication system 112 enables data exchange between vehicles for shared information. Additionally a vehicle-to-infrastructure communication module within vehicle-to-everything (v2x) communication system 112 allows vehicles to interact with traffic signals and management centers.

[00036] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with automated incident detection and response system 114, which detects and responds to accidents or breakdowns in real-time. Automated incident detection and response system 114 uses AI analytics engine 104 to analyze sensor data for anomalies, triggering alerts for incidents. It ensures a timely response by notifying emergency services and deploying response teams, minimizing disruption. This system is integrated with user-centric mobility services 118 to inform users of incidents along their routes. An AI incident detection module within automated incident detection and response system 114 identifies accidents or breakdowns using data from traffic flow sensors and an automated dispatch module within automated incident detection and response system 114 coordinates with emergency services for rapid response.

[00037] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with environmental monitoring and management system 116, promoting sustainable travel through emissions tracking and green routing. Environmental monitoring and management system 116 gathers data from environmental sensors 106 to monitor air quality and noise levels, providing insights into the city's environmental health. This system integrates with dynamic routing system 108 to recommend eco-friendly routes, helping to reduce fuel consumption and emissions. Environmental monitoring and management system 116 is provided with an emission tracking module that monitors vehicle emissions continuously and additionally a green routing advisor module offers eco-friendly route options, working with user-centric mobility services 118 to encourage sustainable choices.

[00038] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with user-centric mobility services 118, which offers personalized travel options and real-time notifications. User-centric mobility services 118 leverages data from dynamic routing system 108 to tailor travel plans based on user preferences. It keeps users informed of traffic conditions, incidents, and transit updates, enhancing convenience and satisfaction. This system also integrates with environmental monitoring and management system 116 to provide eco-friendly route options. A personalized travel plan generator module within user-centric mobility services 118 customizes routes according to user preferences and a real-time alert module within user-centric mobility services 118 sends notifications about changes impacting travel plans.

[00039] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with centralized management platform 120, which serves as a hub for monitoring and managing the entire urban transportation network. Centralized management platform 120 integrates data from IoT sensors and devices 102, AI analytics engine 104, and other systems for a comprehensive view of city mobility. It enables city planners and transportation authorities to make informed decisions based on real-time data, optimizing traffic flow, public transit, and environmental health. The platform interacts with all other components, including user-centric mobility services 118, to ensure cohesive system-wide coordination. Within user-centric mobility services 118 a unified control center module provides a centralized view of urban mobility and a data integration and visualization module aggregates data for actionable insights.

[00040] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with data security and privacy system 122, which safeguards user data and ensures secure communication across the transportation network. Data security and privacy system 122 is essential for maintaining trust in the framework by protecting sensitive information collected from IoT sensors and devices 102, vehicle-to-everything (v2x) communication system 112, and user-centric mobility services 118. This system employs advanced encryption techniques to secure data both during storage and transmission, preventing unauthorized access or tampering. It works closely with centralized management platform 120 to enforce stringent data privacy standards and comply with regulatory requirements. The data security and privacy system 122 comprises of an encryption module that applies robust data encryption protocols to all incoming and outgoing data and secure communication protocols that govern safe interactions between components, ensuring that data shared within the network remains private and protected from interception.

[00041] Referring to Fig. 1, next-gen smart mobility management framework 100 is provided with scalability and modular integration support 124, which ensures the system's adaptability to evolving urban transportation needs. Scalability and modular integration support 124 allows the framework to expand and integrate new technologies, sensors, and functionalities without disrupting the existing system. This component leverages cloud-based infrastructure to handle large volumes of data and computational demands, making it feasible to scale operations across a growing urban environment. It also supports API integration, allowing the seamless addition of third-party applications and further enhancing the system's functionality. This component interacts with centralized management platform 120 to provide a cohesive and flexible system, enabling long-term adaptation to new urban challenges. Scalability and modular integration support 124 is provided with a cloud-based infrastructure that provides scalable storage and processing capabilities and an API integration layer, facilitating the connection of external applications and data sources for enhanced functionality.

[00042] Referring to Fig 2, there is illustrated method 200 for next-gen smart mobility management framework 100. The method comprises:

At step 202, method 200 includes IoT sensors and devices 102 deployed across urban areas collecting real-time data on traffic flow, environmental conditions, and infrastructure status;

At step 204, method 200 includes IoT sensors and devices 102 transmitting the collected data to AI analytics engine 104 for processing and analysis;

At step 206, method 200 includes AI analytics engine 104 using data processing and predictive analytics to identify traffic patterns, forecast congestion, and assess environmental impact;

At step 208, method 200 includes AI analytics engine 104 sending analysed data to adaptive traffic signal control system 106 for adjusting traffic signal timings based on real-time traffic conditions;

At step 210, method 200 includes adaptive traffic signal control system 106 dynamically adjusting signal durations to optimize traffic flow and giving priority to emergency vehicles when needed;

At step 212, method 200 includes dynamic routing system 108 receiving data from AI analytics engine 104 and suggesting optimal routes for drivers, public transit, and other users based on real-time traffic and road conditions;

At step 214, method 200 includes smart public transportation management system 110 utilizing AI-based scheduling to optimize public transit schedules and passenger information systems to provide real-time updates on transit options;

At step 216, method 200 includes vehicle-to-everything (v2x) communication system 112 enabling communication between vehicles, infrastructure, and traffic signals to enhance coordination and safety on the road;

At step 218, method 200 includes automated incident detection and response system 114 detecting any traffic incidents or breakdowns using data from AI analytics engine 104 and dispatching emergency response teams promptly;

At step 220, method 200 includes environmental monitoring and management system 116 monitoring emissions and recommending eco-friendly routes based on environmental data, supporting sustainable travel practices;

At step 222, method 200 includes centralized management platform 120 integrating data from all components, allowing for comprehensive control and monitoring of the urban transportation network;

At step 224, method 200 includes user-centric mobility services 118 providing personalized travel plans and real-time alerts to users based on integrated data from centralized management platform 120 and real-time traffic, transit, and environmental conditions;

At step 226, method 200 includes data security and privacy system 122 ensuring all collected and shared data is encrypted and securely transmitted across the network to protect user privacy;

At step 228, method 200 includes scalability and modular integration support 124 enabling the addition of new sensors, functionalities, and third-party integrations to expand the system's capabilities as urban transportation needs evolve.

[00043] In the description of the present invention, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "fixed" "attached" "disposed," "mounted," and "connected" are to be construed broadly, and may for example be fixedly connected, detachably connected, or integrally connected, either mechanically or electrically. They may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.

[00044] Modifications to embodiments of the present disclosure described in the foregoing are possible without departing from the scope of the present disclosure as defined by the accompanying claims. Expressions such as "including", "comprising", "incorporating", "have", "is" used to describe and claim the present disclosure are intended to be construed in a non- exclusive manner, namely allowing for items, components or elements not explicitly described also to be present. Reference to the singular is also to be construed to relate to the plural where appropriate.

[00045] Although embodiments have been described with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More particularly, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the present disclosure, the drawings and the appended claims. In addition to variations and modifications in the component parts and/or arrangements, alternative uses will also be apparent to those skilled in the art.

, Claims:WE CLAIM:
1. A next-gen smart mobility management framework 100 comprising of
IoT sensors and devices 102 to collect real-time data on traffic flow, environmental conditions, and infrastructure health;
AI analytics engine 104 to process data from iot sensors and derive actionable insights;
adaptive traffic signal control system 106 to adjust traffic light timings dynamically based on traffic conditions;
dynamic routing system 108 to provide optimal routing suggestions for various transportation modes;
smart public transportation management system 110 to optimize transit schedules and inform passengers in real-time;
vehicle-to-everything (v2x) communication system 112 to enable communication between vehicles, infrastructure, and traffic management centers;
automated incident detection and response system 114 to identify traffic incidents and deploy timely responses;
environmental monitoring and management system 116 to track emissions and suggest eco-friendly routes;
user-centric mobility services 118 to offer personalized travel plans and real-time updates to users;
centralized management platform 120 to integrate data and provide a unified view of urban transportation;
data security and privacy system 122 to ensure secure data transmission and user privacy protection; and
scalability and modular integration support 124 to allow easy addition of new functionalities and third-party integrations.

2. The next-gen smart mobility management framework 100 as claimed in claim 1, wherein IoT sensors and devices 102 comprises of traffic flow sensors configured to monitor vehicle density, speed, and movement; environmental sensors to collect data on air quality, temperature, and noise levels; and infrastructure sensors to assess the structural health of critical infrastructure, providing comprehensive real-time data to enable adaptive traffic and environmental management.

3. The next-gen smart mobility management framework 100 as claimed in claim 1, wherein AI analytics engine 104 includes a data processing module configured to aggregate, clean, and organize raw data from IoT sensors and devices 102; and a predictive analytics module that applies machine learning algorithms to analyze historical and live data, enabling accurate traffic trend forecasts and proactive congestion management across the urban network.

4. The next-gen smart mobility management framework 100 as claimed in claim 1, wherein adaptive traffic signal control system 106 includes a dynamic signal timing adjuster that automatically modifies signal timings in response to real-time traffic conditions; and an emergency vehicle priority system that integrates with vehicle-to-everything (V2X) communication system 112 to grant green-light paths for emergency vehicles, enhancing traffic management efficiency and response times.

5. The next-gen smart mobility management framework 100 as claimed in claim 1, wherein dynamic routing system 108 comprises a real-time navigation module configured to provide continuous route optimization for drivers based on data from AI analytics engine 104; and a multimodal routing integration module that supports seamless transitions between private vehicles, public transportation, and other travel modes, optimizing traffic flow and reducing travel time within urban environments.

6. The next-gen smart mobility management framework 100 as claimed in claim 1, wherein vehicle-to-everything (V2X) communication system 112 includes an inter-vehicle communication module that enables direct data exchange between vehicles, providing real-time updates on road conditions and potential hazards; and a vehicle-to-infrastructure communication module that allows vehicles to interact with traffic signals and other infrastructure elements, facilitating coordinated mobility and enhancing road safety.

7. The next-gen smart mobility management framework 100 as claimed in claim 1, wherein automated incident detection and response system 114 comprises an AI-powered incident detection module configured to identify traffic incidents, such as accidents or breakdowns, using sensor and camera data; and an automated dispatch module that immediately notifies emergency response teams, enabling rapid response to incidents and minimizing disruptions to traffic flow.

8. The next-gen smart mobility management framework 100 as claimed in claim 1, wherein environmental monitoring and management system 116 includes an emission tracking module that continuously monitors vehicle emissions to identify high-pollution areas; and a green routing advisor that suggests environmentally-friendly travel routes, promoting sustainable transportation choices and reducing the framework's overall environmental impact.

9. The next-gen smart mobility management framework 100 as claimed in claim 1, wherein user-centric mobility services 118 include a personalized travel plan generator that customizes routes based on user preferences and real-time traffic conditions; and a real-time alert system that provides timely notifications on traffic incidents, route adjustments, and environmental factors, enhancing user convenience and the overall commuter experience

10. The next-gen smart mobility management framework 100 as claimed in claim 1, wherein method comprises of
sensor suite 102 deployed across urban areas collecting real-time data on traffic flow, environmental conditions, and infrastructure status;
IoT sensors and devices 102 transmitting the collected data to AI analytics engine 104 for processing and analysis;
AI analytics engine 104 using data processing and predictive analytics to identify traffic patterns, forecast congestion, and assess environmental impact;
AI analytics engine 104 sending analyzed data to adaptive traffic signal control system 106 for adjusting traffic signal timings based on real-time traffic conditions;
adaptive traffic signal control system 106 dynamically adjusting signal durations to optimize traffic flow and giving priority to emergency vehicles when needed;
dynamic routing system 108 receiving data from ai analytics engine 104 and suggesting optimal routes for drivers, public transit, and other users based on real-time traffic and road conditions;
smart public transportation management system 110 utilizing ai-based scheduling to optimize public transit schedules and passenger information systems to provide real-time updates on transit options;
vehicle-to-everything (v2x) communication system 112 enabling communication between vehicles, infrastructure, and traffic signals to enhance coordination and safety on the road;
automated incident detection and response system 114 detecting any traffic incidents or breakdowns using data from ai analytics engine 104 and dispatching emergency response teams promptly;
environmental monitoring and management system 116 monitoring emissions and recommending eco-friendly routes based on environmental data, supporting sustainable travel practices;
centralized management platform 120 integrating data from all components, allowing for comprehensive control and monitoring of the urban transportation network;
user-centric mobility services 118 providing personalized travel plans and real-time alerts to users based on integrated data from centralized management platform 120 and real-time traffic, transit, and environmental conditions;
data security and privacy system 122 ensuring all collected and shared data is encrypted and securely transmitted across the network to protect user privacy; and
scalability and modular integration support 124 enabling the addition of new sensors, functionalities, and third-party integrations to expand the system's capabilities as urban transportation needs evolve.

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