RoadEye: Intelligent Roadway Monitoring
In the era of abundant data, its efficacy is often hindered by its dispersed and
heterogeneous nature, posing serious challenges to its utilisation. In addition,
extracting meaningful measures of performance from such data sets is often
challenging, further limiting its benefits and hindering effective decision making.
Greenroads (GR), together with University of Malta (UM) academics and research
support officers, and in consultation with Infrastructure Malta (IM), aims to address
such issues for the widely heterogeneous data gathered regarding the Maltese
strategic traffic network.
Various data gathering methodologies are used to study the transport network
including surveys, counts using induction and pneumatic sensors and camera feeds.
These data sources, although focused on extracting information for the same
network, generate data in widely different formats and at varying spatial and
temporal resolutions. Also, they are rarely accessible on the same platform. Thus,
the initial goal of this project is to fuse this data aiming to improve the accuracy of the
independent sources and provide this data on the unified GR online platform.
To add to the effectiveness of this data, this project also aims to develop, as a
second aim, Key Performance Indicators (KPIs) for the network infrastructure.
Typical KPIs used in larger networks are often inaccurate and mostly uninformative
when considering networks of limited size such as the Maltese network. Thus, tailor-
made KPIs capable of capturing salient information for such a network will be studied
in consultation with IM and made available, online and in real-time, on the same GR
platform.
Finally, as a third aim, predictive abilities will be added to the GR platform leveraging
the fused data sources. Various disturbances on the network such as road closures
or heavy traffic influx due to localised events, heavily affect the traffic flow. Traffic
assignment solutions for the re-routing of traffic in such situations will be provided.
This provides transport professionals the tools and information required to take fully
informed decisions regarding such disturbances.
This project is being funded by the Ministry for Education, Sport, Youth, Research
and Innovation as part of the Postdoctoral Fellowship Scheme 2024.