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Smart City Challenge

Smart Mobility

Infrastructure Challenge

Smart City Challenge aims to
spread innovation and emerging technology solutions to address most pressing problems facing modern cities, such as traffic congestion, pollution, livability, bridging the digital divide and workforce infrastructure.

Data Security Challenge

Smart City also poses security and privacy challenges of the data collected from citizens, devices, sensors and digital assets.

To monitor city’s critical infrastructure, big data are collected, processed, and analyzed, including traffic and transportation systems, crash avoidance, accidents, utilities, power plants, water supply networks, crime detection surveillance, and information services of community services, schools, libraries, and hospitals.

Check List:

Key Features of Smart Ecosystem

☑ Tech / Big Data-Driven
☑ Scalability & Interoperability
☑ Smart, Adaptive & Automated
☑ Work / Residential Infrastructure
☑ Bridging the Digital Divide
☑ Diversity & Inclusion
☑ Digital Twins

Smart City Challenges

Cities around the world will invest about $41 trillion to upgrade cities’ infrastructure with smart city technologies over the next 20 years.

Smart integration of new technologies, livability and Intelligence to predict problems and solutions will shape the Future.

Shared Mobility

Shared-use mobility
is the biggest game changer.
It can improve volume and flow of traffics on the road, reducing congestion, greenhouse gases and transportation costs without huge investment in the urban infrastructure

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Adaptive AI

.Another game changer is advanced traffic management system. Adaptive traffic signal augmented with AI can improve the wait time by more than 10% and overall travel time by 20% or more without substantial renovation of road networks and infrastructure

Smart Signal

Traffic signal has experienced very few fundamental improvement in the past 50 years. The potential for safer and more efficient multi-modal traffic operations is finally possible with the advance of artificial intelligence

Interoperability

Convergence of new technologies, such as DSRC, RSU, 5G, IoT, V2X, LiDAR, are driving the future of smart mobility. The challenge is the interoperability of the data platform between legacy system and numerous heterogeneous devices.

Scalability

Another challenge is to avoid the technical obsolescence and maintain scalability and interoperability with large scale simulation using virtual models like digital twins, so that the best practices can be deployable to other cities

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Data Security

The proliferation of IoT and various heterogeneous devices poses new challenges and concerns on the data security and cybersecurity vulnerability which could allow hackers to gain access and manipulate data on the city’s critical infrastructure.

Congestion

A Major Challenge to Smart Cities

Billion

Economic toll of US traffic
congestion in 2017

hours sitting in traffic

Drivers in LA traffic

Per each driver

Annual cost per driver in LA

The Seven Features of Adaptive TMS:

  • Predict traffic conditions in advance
  • Interoperability to the evolution of smart mobility infrastructure
  • Alert drivers to save wait time and congestion and to reduce the probability of accidents
  • Improve the flow of traffic over time with adaptive learning
  • Scalable with convergence of new technologies and new industry standards, such as DSRC, VDS, V2X, and RSU
  • Integrate data security solution for the secure exchange of data and IoT gateway

Adaptive AI

Traffic Management Solution

Blue Signal Alliance Solution

Predictive Congestion

Blue Signal’s “Predictive Congestion” technology analyzes the data collected from traffic, vehicles, and road infrastructure, and predicts the future traffic conditions using unique AI/ML engine.

Safe Driving Advisor

Predictive traffic data analytics can set a new standard for safe driving and intelligent routing for drivers and autonomous driving vehicles in the future, providing data analytics for multiple route possibilities, accidents and risk rates, and
reducing congestion and pollution.

Smart Signal Optimizer

The solution analyses Big Data on traffic, predicts future traffic complexity, and improves traffic flows via smart signal optimizer without huge investment into the traffic infrastructure

AI-Based Traffic Control

& Predictive Analytics

Predictive Collision Warning System

Billion

Economic toll of US traffic
congestion in 2017

hours sitting in traffic

Drivers in LA traffic

Per each driver

Annual cost per driver in LA

Projects

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  • Branding – 90%
  • UX Research – 77%
  • Interface Design – 85%
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever.

Media

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Product

Branding

Media & Galleries

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Smart Traffic System and Digital Twins

Perosonalize Driving Experience

Smart Traffic System and Digital Twins

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operation Director, Elegant Themes

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operation Director, Elegant Themes

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Tech Support, Elegant Themes

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Tom Ewer

Blogger, Elegant Themes

Let’s Start Something new
Say Hello!

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