When considering the ideal sensing and monitoring system to enable the ITS sector to deliver improvements in mobility and road safety, for general policing security and border protection, we have to think beyond radar-base systems or laser scanners. What is needed today are solutions for detecting and tracking vehicles while recording evidence to deacide if any action is necessary. There is no sole sensor capable of capturing all the information needed in all conditions so the best option is to use the strengths and advantages of a combination of sensors and other components to achieve the required results. 
     
At the same time it has to be clear that this is not meant to become a realised version of Nineteen Eighty-Four with Big Brother’s omnipresent surveillance of the public. On the contrary, the technology is used in a number of ways to assist road users, highway operators and the police 
to deliver safer and more efficient journeys for all.
 
Sensor fusion
What was needed was a modular, multi-sensor (sensor fusion) and infrastructure-based object detection system which evaluates all information about traffic conditions and road users. Real-time measuring data can be collected by an optimised set of sensor technology (stereo cameras, ANPR camera with IR-illumination, radar and laser) tailored to the individual situation and requirements. Measurement accuracy of position and speed, detection rates, robustness to meet changing ambient conditions, including lighting, rainfall or snow and temperatures, are all influenced by the connection opportunities of different sensors with their respective strengths. Combining data from different sensors leads to 3D features which guarantee object detection, classification, tracking and positioning.  
     
There is already action going on when it comes to the different modules offering features guaranteeing payment processes, access control, face recognition, ANPR, classification, monitoring and tracking or connection of variable message signs. Jenoptik already delivers modular, multi-sensor systems for the detection of passing vehicles, recording evidence, classification, number plate reading, axle counting, matching and exchanging of data. The key is knowing where to place the adequate components to achieve the intended result of a complex traffic task. This approach has to be balanced depending on the conditions and requirements, and uses decentralised components to collect all information. It also requires a larger footprint.
     
The roadside units capture data and typically send it to a back office system for  evaluation. In addition, smart ANPR software solutions can help while interfacing real-time vehicle information with the operators’ data and objectives. 
 
Capturing the roadside data  typically involves a network of ALPR cameras, taking images of the  licence plate along with an overview image showing the vehicle on the  road. This data is then encrypted and partially or completely  transferred to a central data server, depending on the application.  Without analysing the captured data it is just raw information and its  value is limited. 
     
However,  sophisticated data mining tools can allow the ALPR data to be accessed  and it can be presented spatially, chronologically and statistically  through intuitive use of maps, charts and graphs. This allows patterns  of behaviour to be identified, making connections between events,  locations, vehicles and people which would be virtually impossible to  achieve by any other means. Through the ALPR capture and back office  analysis, a detailed picture can be constructed of what is happening  within the monitored zone.
     
Powerful  and fully scalable back office solutions complete the portfolio of  tools needed for recording and evaluating the collected data. 
     
Such  systems can be capable of receiving, processing and storing 6 million+  reads per day and for example, matching those against various Hotlists  or evaluating moving patterns in real-time and sending alerts in case of  action required. Bringing  all this together provides a process chain  that guarantees every danger, problem or obstacle can be identified and  action taken to make journeys safe. 
  
Sophisticated projects
Participation in research projects is often a prerequisite for the technology requirements when realising complex projects and the AIM (Application Platform for Intelligent Mobility) project in cooperation with the German Aerospace Centre is a good example. In AIM, an entire city serves as a platform for application-focused research and development in the field of intelligent mobility services. AIM consists of parts for observing and influencing traffic which are placed on dedicated test tracks, real urban areas and selected parts of the surrounding regions.One of AIM’s facilities is the Research Intersection - a platform for real-time detection, prediction and classification of motorised and non-motorised traffic participants at one of the most complex urban intersections in Brunswick, Germany. The technical set-up uses a number of different sensor technologies (Laser Scanner- or Radar-Mono/Stereo-Video Sensor Fusion).
A  sub-system for detecting motorised traffic consists of mono-cameras,  24  Ghz radar systems and infrared spotlights. Four redundant  installations  are attached to different poles in the intersection in  order to cover  the whole inner area and prevent data loss due to  covered scene details.  A sub-system for detecting pedestrians and  cyclists uses stereo-camera  technology and monitors the cross-walks. 
     
The   main output of the system is trajectory data of the traffic   participants with corresponding scene videos. These trajectories contain   the objects’ positions in the scene and other relevant information   including velocity, acceleration or specifications about the objects’   length and width. In combination with the given traffic light data, this   output allows an overall understanding of the respective traffic   situation.
     
Many such   projects are already in progress in the Middle East and are being   realised on the basis of an optimised combination of components. As Adel   Agha, director of Jenoptiks’ Regional Competence Centre, stresses,   “there is a great demand for bespoke solutions designed to meet the   needs of the on-site infrastructure.” The latest section speed control   (or average speed) project will be installed on one of the world’s   largest maritime causeways, the 43km Sheikh Jaber Al-Ahmad Bridge   between Kuwait City and Subiyah. 
     
The   installation uses a pair of laser scanners to trigger cameras covering   each lane (three plus an emergency lane in each direction) at the  entry  and exit to each 4km section and to offer the possibility to  classify  the passing vehicles. Through the combination of the data  streams of  both scanners, a 3D model is generated for each passing  vehicle and  enables the system to differentiate between up to eleven  different  classes. 
     
According  to  Adel Agha, the requirements of traffic authorities in the Middle  East  correspond well with the principles of modular and decentralised   components. “There is also the actual infrastructure and the extremely   varying traffic situations which have to be taken into account,” he   says. Beyond speed and red light enforcement, solutions such as ANPR,   tailgaiting, illegal turning, yellow box offences, telephone use and   even littering when driving, are being requested. Solar solutions also   provide a new degree of freedom in regions where electrical power   infrastructure is not available at all locations. 
     
One   of the most ambitious projects in the region is the intersections on   the vast and modern streets in the western region of Saudi Arabia where   vehicles line up bumper to bumper across multiple lanes of traffic. At   one particular intersection in Jeddah, the area between the traffic   signals measures 105 x 50m – the size of a soccer field! To monitor all   violations at (and after) the signals, the intersection is instrumented   with cameras, radars, flashes and housings.
     
This   Jeddah intersection is just one of 100 that are monitored as part of   Saudi Arabia’s Automated Traffic Violations Administering and Monitoring   (ATVAM) traffic safety project. Around 60 stationary and approximately   80 mobile speed monitoring devices are also deployed. The back office   software to handle the vast amount of incoming traffic offence data  runs  on 96 processors. Currently, the traffic centre for the Jeddah,  Mecca  and the Medina region processes an average of 84,000 incidents  per day  and this can peak to 140,000 every day.  
    
        
        
        



