Macq Mobility Manager
for SMART CITIES


Develop sustainable transport and optimize traffic flow by changing travellers’ behaviour and by changing road typologies.
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Improving mobility and safety among citizens.

Mobility and Safety

Macq Mobility Management (M³) for Cities is an expert system for reducing the waste of time in travel and for informing citizen/drivers.

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It can help you detect, analyse and anticipate

A full feature solution thanks to its base system combined with all options.

Traffic analysis using sound recognition

For urban areas with complex roundabout systems and mobility issues where identification based on plate character recognition is not sufficient


Mobility monitoring:

This is given by the ability of gathering mobile data from all vehicles in the city at any point of time (24/7) and for each day of the year. Monitoring each vehicle must be combined with each car trajectory, speed to travel from point A to point B, incidents. Those huge geo-data are gathered on massive storage systems to be then processed by operators with flexible state of the art analysing tools to focus quickly on the most important issues.


Optimising user experience

The simulation scenario describes the traffic within the city. The system computes mobility wishes for an area population generated based on information about travelling habits of citizen and on information about the infrastructure of the area they live in. In a second step, additional traffic such as public transport can be added and used in combination with road networks. M3 system display "black" spots and helps simplifying complex junctions, traffic light positions and synchronizations, road works deployments plans in the city.


Intelligent Big Data search

Trillion of bytes are gathered from ANPR cameras. Such a database is deeply enriched on an ongoing basis. Thanks to artificial intelligence, Macq Mobility Manager system can learn how people uses road and highway and detect abnormalities. It detects patterns of behaviours, and then apply algorithms combined with statistical analysis to put in light meaningful anomalies that indicate potential threats. Another challenge with big data is the level of knowledge that is required from a system user to understand how to interact with an interface. M 3 interface has been designed to interact quickly and easily with no need for the user to be trained during weeks.


Dynamic travel information

Travel awareness and mobility education is regarded as an important part of Mobility Management. Real time information of road congestions combined with public transport alternative can be shared with citizen via several means: Smartphone apps and notification, SMS signaling, emails, dynamic road signs, broadcasted news on the FM radio channel, sudden road condition changes sent via RDS or 4G and display on GPS devices. Source of information can come from heterogeneous sources like car driver Mobile Phones, camera systems, traffic speed detectors, roadwork reports, police and traffic control centers.


Safe road transport

Securing the flow of traffic at road/rail intersections is a major challenge. The requirements for safety are extremely high. Triggering real-time information enhances reliability and safeguarding of crossroads of road and rail traffic. Two types of system can be controlled. An active traffic control systems warn road users of approaching trains with flashing lights. Another type of active system consists of a barrier between vehicles or pedestrians and trains. M 3 interprets captured images and trigger signals to controls those active systems at the intersection.


Key European projects

1st project : C-Mobile (Accelerating C-ITS Mobility Innovation and depLoyment in Europe) 2nd project : REVaMP² (Round-trip Engineering and VAriability Management Platform and Process) 3rd project : PoliVisu is a research and innovation project to upgrade the traditional cycle of public policy making using Big Data. Its main aim is to improve an open set of digital tools to leverage the data in order to help the decision making process in the public sector to become more democratic.


Concrete implementation examples: