AI and Big Data – what’s next?

Your opinion matters: traffic questionnaire for ITS International readers

Innovative traffic technologies - which ones matter most to you? ITS International has teamed up with Hikvision to find out – but we really need your help. We’re all ears!

In this survey, we would like to know your opinions about how Artificial Intelligence, multi-dimensional perception and Big Data can be used to help manage traffic in different ways.

How can these technological advances help city and highways authorities optimize planning while keeping everyone moving safely?

What are the hurdles and opportunities for today’s traffic management systems? Please fill in the survey to help us build a picture of the key drivers and challenges.

Feel free to skip a question if it’s not relevant to you – but we would love your feedback! Take the survey below…

Adam Hill, Editor

ITS International

Question Title

* 1. What do you see as the main use cases for Artificial Intelligence to help organizations improve traffic management? (Select all that apply)

Traffic violation detection, such as speeding, running red lights, illegal parking

Traffic flow management, to detect real-time traffic conditions like vehicle speed, space, time headway, and queue length

Road and driver safety, such as fallen objects detection, illegal lane change, smoke in tunnels

Traffic congestion avoidance

Travel time prediction

Manage emission zones

Manage road pricing and congestion charging

Improve traffic infrastructure planning

None of the above

Other (please specify)

Question Title

* 2. What are the major roadblocks to the rollout of AI technology in traffic organizations? (Select all that apply)

Lack of use cases

Lack of funding

Unclear business case

Lack of AI strategy

Lack of standards for AI technology and data

System integration complexity

Shortage of internal skills

Uncertainty about vendor skills

Question Title

* 3. Traffic cameras are becoming more powerful as more perception capabilities - like radar, Lidar and sonar - are added to them. These new cameras shoulder a multitude of tasks that just a few years ago required several different devices. So what kind of cameras do you see as being the most promising and practical in covering multiple tasks?

Question Title

* 4. What are the key advantages of a digitized traffic management system? (Select all that apply)

Collection of more data

Collection of better data

Easier data management

Generation of data-driven actionable insights

Prediction of future traffic trends

Improved traffic management efficiency

Better traffic law enforcement

Reduction of accidents

Congestion reduction

Better congestion charging and tolling schemes

Better travel time prediction

Improved traffic planning

Improved road infrastructure

Question Title

* 5. What are some of the main challenges in bringing together the different sources of available real-time data to improve traffic management? (Select all that apply)

Technical complexities in consolidating different traffic systems

Too much data to manage

Lack of common standards

Data regulations and law restrictions

Lack of a powerful, open and centralized management platform

Cybersecurity concerns

Other (please specify)

Question Title

* 6. What are the most notable changes in traffic technology investments you have seen recently? (Select all that apply)

Reduced investments

Increased investment

More focus on emission control

Special interest in bicycle lanes

More focus on pedestrian areas

Increased software share of total

More public-private partnerships funding

Other (please specify)

Question Title

* 7. What capabilities do you think Artificial Intelligence will bring to the traffic technology sector in the future? (Select all that apply)

Data collection improvement

Data management improvement

More accuracy and visibility of traffic conditions

Lower cost of traffic management

Data analytics for better understanding of future traffic demand

Ability to create digital twin road networks for simulation

Make it easier to create business cases for new traffic initiatives

Other (please specify)

Question Title

* 8. Vehicles on the road are getting smarter – so what can be done to make our roads more intelligent?

AI: In video cameras, artificial intelligence plays a dual role in making image analysis possible, but also in improving the quality and reliability of captured footage. In doing so, AI offers new levels of situational awareness and understanding for security teams and other business functions.

MULTI-DIMENSIONAL PERCEPTION: For a long time, video was the one and only perception capacity of Security Systems. Technology has evolved and currently, these systems used other types of "senses", such as radar, listening sensors, thermal sensors, etc. So they can even detect phenomena that are beyond visual range, to identify and respond to security incidents.

BIG DATA: State-of-the-art Big Data infrastructures have opened up new horizons for storing and accessing video data characterized by the 4Vs of Big Data: Volume, Velocity, Variety, and Veracity. In particular, collecting immense volumes of data from multiple cameras, including streaming data with high ingest rates, is now much easier than in the past. Big Data systems provide the means to create and implement video surveillance architectures that scale seamlessly and cost-effectively.