Category Archives for "Getting Started"

Nov 03

Shipping smarter: IoT opportunities in transport and logistics

By ganpati | Getting Started

It’s always been essential for shipping companies to keep track of where everything is, and Internet of Things applications have made that easier. But the IoT is also expanding the ways in which T&L firms function—­cutting costs, increasing efficiency, and creating new revenue possibilities.

Many industries and business sectors are struggling to grasp the possibilities of data-driven technology, but companies in transport and logistics (T&L) are way ahead. By their very nature, the logistics providers that move objects by air, sea, rail, and ground have widely distributed networks and rely on rapid information about those networks to make decisions. As a result, they were quick to see the benefits of new sensor and connection technology, placing them at the forefront of the transition to a connected world.

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Nov 03

3 ways to drive greater ROI from your transport analytics

By ganpati | Getting Started

A common question posed by transport leaders tasked with overseeing smart transport initiatives is how to generate greater returns from existing data reservoirs.
By taking a creative approach to advanced location-based analytics, there is a significant opportunity for transport planning strategists to drive more valuable insights from data to establish effective transport analytics programs.

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Nov 03

Targeted and timely tools for transport policy makers

By ganpati | Getting Started

Transport operators and policy makers need access to a broad range of targeted and timely information to plan, build and operate road transportation networks.

The ubiquitous data generated by road traffic is an under-utilised source of information for planners and operators, and an opportunity exists to extract new insights from existing transport data.

We are developing and applying new machine learning techniques to create a range of tools enabling safer, quicker and smarter analysis of transportation networks.

CBD traffic modelling and identification of congestion hot spots

The tools include an integrated traffic database created by fusing multiple private and public sector data sources together, large scale transport modelling platforms, and comprehensive machine learning libraries for traffic data analysis.

Some new possibilities include monitoring the entire traffic network, including suburban streets to provide quantitative measures of operational performance, quantifying and resolving the impact of traffic incidents, influencing the behaviour of travelers through real-time information, and being able to evaluate transport projects in terms of their impact on traffic demand and distribution.

Alongside public and private sector organisations we are working to improve the planning, design, operation and maintenance of urban road networks for passenger and freight traffic.

Areas of our current focus are:

the comprehensive evaluation of transport policy, project and pricing schemes for large-scale metropolitan areas

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