WATCH: ‘Harnessing public transport for smarter asset management’

The challenge for asset managers within transport is the growing burden of more passengers and more freight travel on transport networks. The demands that are put on asset managers are often unsustainable and we now need a solution that will help ease the pressure by utilising existing resources.

In this webinar review, we will summarise how public transport can play a key role in asset management and the influence it can have on our environment, specifically carbon emissions. It will also detail VTX City user cases and the types of intelligence available from remote condition monitoring.

Asset management teams are often tasked to carry out inspection regimes based on the environment and asset condition which means thousands of inefficient car journeys are needed to manually identify the extent of the issue.

However, by retrofitting VTX City’s continuous urban scanner to public transport vehicles and refuse vehicles, it can autonomously scan the condition of your city assets and infrastructure and identify potential hazards that require attention.

This way, it can detect infrastructure degradation, damaged street furniture, and asset failures by utilising emerging technologies such as Lidar, 5G, and Artificial Intelligence, which eliminates the need for inefficient car journeys that are bad for the environment.

By using vehicles that frequent our streets every day like repeated bus and public transport fleets, you can receive the following information on your urban assets:

• Real-time alerts and notifications on asset condition
• Data on demand
• Dynamic Urban Database
• Actionable insights and intelligence that enable you to move from reactive to predictive maintenance

The versatility of VTX City’s ability to detect and classify numerous objects is quite extensive and have been divided into three broad structures.

1. Road Surface Defects and Features

2. Road Structures and Assets

3. Kerb-side Assets and Objects

Also, VTX City can be implemented for the introduction of the new Part 6 legislation, which would ensure lamp columns, road signage, traffic lights and yellow boxes are maintained to the highest quality and are compliant with Part 6 traffic and enforcement regulations.

By utilising lidar technology, we are able to create a 3D map cloud of the surrounding environment by leveraging machine learning and artificial intelligence algorithms to detect and classify monitored objects. Here are some examples of what can be monitored:

• Parking violation detection
• Regulatory kerb upstand (12cm)
• Road signage condition
• Asset Condition E.G Bus Shelter
• Correct Road Markings

The intelligence from frequent monitoring can allow clients to perform analysis on the data collected in real-time to give predictive insights for future failures, which allow maintenance teams to plan their work in advance.