White Paper. Portsmouth Bluetooth and Wi-Fi journey time and congestion monitoring system
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1 Portsmouth Bluetooth and Wi-Fi journey time and congestion monitoring system Quality Management Project No: N/A Document Date 29 Mar 2014 Portsmouth Bluetooth and Wi-Fi journey time and congestion monitoring Document system Title Prepared by Nick Hewitson Checked by Approved by Neil Brailsford Nick Hewitson Revision History Revision # Details Prepared By Checked Date of Issue By 01 Internal for comment NB NH 15 Mar Review for comment NH NB 29 Mar 2014 A1 Issued to Client NH NB 29 Mar 2014 Page 1 of 5
2 1. Introduction In order to deploy successful Intelligent Traffic Systems to manage the road network it is critical to understand what is happening on the network in real time. Historically this has been achieved either by the use of inductive loops embedded into the road surface or by using automatic number plate reading (ANPR) to tag vehicles. Both methods suffer from key deficiencies. A loop in the road gives good data at that point but it is not good at giving information along a section of road, it also suffers from the need to close the road or lane for installation and repair. ANPR is a relatively expensive technology to deploy and has data protection issues. Around 25% of all vehicles now have Bluetooth radio and / or Wi-Fi networking enabled in mobile telephones, hands free kits and satellite navigation systems, statistically any sample over about 15% (assuming reasonable volume) is mathematically valid. With the correct aerial it is possible to sense these signals over a significant distance (around 100 meters) and obtain an ID from the device, which contains no information about the user. So unlike ANPR, data protection issues are reduced. In fact if the ID is both hashed and the hash code changed regularly then the data becomes completely anonymised. 2. Bluetooth Monitoring System We have installed a BlipTrack Bluetooth and Wi-Fi sensing system into the city of Portsmouth, England to measure journey times across the city and to provide congestion monitoring. This is done by measuring both the average speed and the number of vehicles flowing around the sensors and delivering this data back to the traffic management centre in real time. Portsmouth is one of the most densely populated cities in the UK. The drawing above shows the principles of the system, the roadside sensors can report when they first detect the vehicle, when they last detected it or when the detection signal Page 2 of 5
3 was at its strongest. They transfer the ID via mobile telephony up to a server in the Cloud. This server then matches the IDs from the various sensor locations along with the time at which they were detected and it can therefore work out the volume of vehicles detected, the journey time between points and by knowing the distance between the sensors the average speed. The Cloud servers also undertake filtering to remove outliers so that the vehicle that stops to allow the driver to purchase fuel for example, doesn t affect the statistics. The Bliptrack sensors can be configured to run on a number of power supply voltages, in Portsmouth we used 230V AC provided by traffic signals, in the picture below the top box is the Bluetooth sensor and the bottom box the Wi-Fi sensor (you can deploy either or both). This made the installation a very easy process, with all work undertaken on the pavement so no traffic management was required and the equipment was installed at a height which minimised working at height issues. 3. Back Office Information System The only equipment needed at Portsmouth s traffic management centre is a PC with an internet browser installed (Internet Explorer, Chrome, Safari etc.) This is used to connect to the cloud server via a secure web page and to display the traffic status dashboard. Page 3 of 5
4 Portsmouth City Council, as the local highway authority, is using the system both tactically and strategically. On a day to day basis they can use the system to monitor the actual road conditions in real time and manually control the phasing of traffic signals when congestion is identified. On a strategic level they are able to measure the impact of major road works, maximise the effectiveness of diversion routes and improve their traffic models. They can also use the data to plan for major events in the city centre, for example the BUPA Great South Run which is held on a Sunday in October and attracts around 25,000 athletes along with their families and supporters to watch the event. The journey time graph for the 27 th October 2013 (the day of the run) is shown below along with the data from the previous Sunday for one of the main routes into the city. (Please note that the vertical scales on the two graphs are very different). Page 4 of 5
5 It is clear the traffic flow into the city is highly abnormal in the morning period on the day of the run. Potential additions to the system will bring additional benefits, an extension of the sensor network to the strategic road network (M27 and A27) which passes just north of the city would bring benefits to out of area drivers if there was a method like a mobile App for them to understand the current traffic flows / journey times, they could then select the quickest and therefore least polluting route into the city. Extending the sensors to rail stations would allow travellers to make informed choices as the type of transportation they might want to take to access the city centre facilitates. Bluetooth and Wi-Fi sensing has given Portsmouth City Council a very cost effective tool to understand and to help them manage the traffic flows in one of the UK s most densely populated areas 4. Contact Us For additional information and/or product sheets on any of the systems shown in this document please contact us at: SMART CCTV Limited 8 Dragoon House Hussar Court Westside View Waterlooville Hampshire PO7 7SF Telephone Number: +44 (0) Page 5 of 5
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