GB2516479A - A system for managing vehicular traffic flow within a road network - Google Patents
A system for managing vehicular traffic flow within a road network Download PDFInfo
- Publication number
- GB2516479A GB2516479A GB1313195.8A GB201313195A GB2516479A GB 2516479 A GB2516479 A GB 2516479A GB 201313195 A GB201313195 A GB 201313195A GB 2516479 A GB2516479 A GB 2516479A
- Authority
- GB
- United Kingdom
- Prior art keywords
- road network
- traffic
- traffic flow
- sensor
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
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Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/081—Plural intersections under common control
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
A system for managing traffic controlled by sets of traffic signals 11, within a road network, comprising sensors 12 located at various points 13 within the network, each sensor being adapted to detect passing vehicles 14, and which vehicles are carrying a Bluetooth or WiFi enabled device 15. Each sensor communicates with a data server 16 which collates data from all the sensors to generate and store an overall picture of traffic flow across the network; the signal phase of each traffic signal within the road network can then be adjusted in near real time to optimise traffic flow. A vehicle equipped with a Bluetooth or WiFi device can have its unique MAC address recorded by the sensor and its subsequent progress tracked to identify busy or frequently used routes; the traffic signals on these routes can then be adjusted to optimise traffic flow. The sensors can be easily integrated with existing traffic light signal control units.
Description
A system for managing vehicular traffic flow within a road network This invention relates to a system for managing vehicular traffic flow within a road network and, in particular, to a system for controlling S traffic signals within the road network.
A number of systems are available for the control and optimisation of traffic signals within a road network. For example, the Sydney Coordinated Adaptive Traffic System (SCATS) is an intelligent transportation system developed hi Sydney, Australia, which was based on the Roads and Maritime Services system in the I 970s, which was used in Melbourne, Australia since 1982. The SCATS system primarily manages the dynamic timing of signal phases at traffic signals, and endeavours to find the best phasing (i.e. cycle times, phase splits and offsets) for the current traffic situation (for individual intersections as well as for the whole network).
The aforementioned system uses sensors at each traffic signal to detect vehicle presence in each lane and pedestrians waiting to cross at a local site. The vehicle sensors are generally inductive loops installed within the road. The pedestrian sensors are usually push buttons.
Information collected from the vehicle sensors allows SCATS to calculate and adapt the timing of traffic signals in a network.
The Split Cycle Offset Optimization Technique (SCOOT) system differs from the SCATS system in that it uses a second set of advance vehicle detectors, typically 50-300 metres upstream of a stop line. The advance detectors provide a count of the vehicles approaching at each junction. This feature gives the system a higher resolution picture of traffic flows and a count of the number of vehicles in each traffic queue, several seconds before they reach the stop line (allowing time for communication between the traffic signal controller and a central computer). In use, the SCOOT system allows for the delay of green waves dynamically on a just in time basis based on tile arrival of vehicles at the upstream detector, allowing extra time to the previous green phase where warranted in heavy traffic conditions.
However, both the SCATS and SCOOT control systems have the common trait in that they utilise independent oil-site devices to infonn them of changes in traffic flows at junctions. The software then reacts based on this on-site information to ensure traffic conditions are optimised to reduce delays. Currently these on-she devices include underground loops, infrared cameras and CCTV cameras. The disadvantage of these devices is that only give data for each individual junction and cannot provide information on changes in area wide traffic flows.
Tn 2011 the City of Calgary, Alberta, Canada introduced a Bluetootli (Biuetooth is a registered trademark of Bluetooth Sig Inc., USA) tracking technology along Deefoot Trail to give motorists real-time information about the travel time along Deefoot Trail during their trip. The technology collects publicly available information from Bluetooth® devices and estimates travel times and congestion. These times are then displayed on electronic signs at key locations along die freeway.
The benefits of this system are that drivers can make hifonned route planning choices with a reduction in the driver's frustration over S traffic conditions. The system also allows for the collection of transportation data for plamiing purposes and reduces the incidence of drivers using handheld devices to predict traffic during their trip.
However, this system is limited to particular routes within a road network.
It is an object of the present invention to overcome the disadvantages of the systems hereinbefore described.
Thus, the invention provides a system for managing vehicular traffic flow, controlled by sets of traffic signals, within a road network, the system comprising a plurality of sensors locatable at various points within the road network, the and each sensor being adapted to detect vehicles passing thereby, which vehicles have a Bluetooth or WiFi enabled device located therein, a data server in communication with the and each sensor, such that, in use, data on the detected vehicles is collated within the data server to generate an overall picture of the traffic flow across the road network, with the signal phase of the or each traffic signal within the road network being adjustable, hi near real time, so as to optimise traffic flow across the whole road network, based on the generated overall picture of the traffic flow.
WiFi is a registered trade mark of the Wi-Fi Alliance, Austin, Texas, USA).
By a set of traffic signals in this context is meant a group of traffic signals controlling a particular location in the road network, such as an S intersection.
An advantage of the system in accordance with the invention is that sensors can be located above the ground with the result that the system can be installed with minimum disruption to traffic.
The sensors can also be retrofitted in a road network where the traffic flow is already being controlled using existing systems such as SCATS, as hereinbefore described. The data provided by the sensors across the road network can augment the information already provided by the existing system to give a better overview of the traffic flow across the whole road network in near real time.
Bluetooth technology was developed as a cable replacement and is based on frequency-hopping spread spectrum technology. Bluetooth' technology has been in existence since 1994. However, it is only in recent years that it has been included as standard in mobile phones, satellite-navigation systems, laptops, watches, gaming devices and in some vehicles. To date the technology has been mainly used as a method of data transfer between devices and/or to enable hands-free connections between devices.
Any Bluetooth device in discoverable mode will transmit the following infonnation on demand: * The device name * The device class S * List of services * Technical infonnation (for example: device features, manufacturer, Bluetooth® specification used, clock offset) Any Bluetooth® device may perfonn an enquiry to find other devices to connect to, and any device can be configured to respond to such enquiries. However, if the device trying to connect knows the address of the device, it always responds to direct connection requests and transmits the information shown in the list above, if requested. Use of a device's services may require pairing or acceptance by its owner, but the connection itself can be initiated by aiiy device and held until it goes out of range.
WiFik enabled devices connect hi a similar way.
Thus, a Bluetooth® or WiFi® device in Bluetooth' device in discoverable mode can be detected by the sensor.
The traffic flow passing a particular sensor can be calculated by recording tile number of Bluetooth® or WiFi® enabled devices passing thereby. A survey of the total number of vehicles passing a particular sensor can be established, with the number of Biuetooth or WiFi® enabled devices being compared thereto to establish a factor to be applied to give the total number of vehicles. Surveys can be repeated at regular intervals and the factor adjusted, if required.
Preferably, the media access control address (MAC address), for each BluetoothT or WiFi® enabled device detected, is recorded and tracked through the road network by the data server.
A MAC address is a unique identifier assigned to network interfaces for communications on the physical network segment. MAC addresses are used as network addresses for most JEFF 802 network technologies, including Ethernet. Thus, each Bluetooth® or WiFi® enabled device has a unique MAC address.
An advantage of a system which records and tracks each Bluetooth or WiFi enabled device is that this information can be used to not only provide a picture of the traffic flow at a particular junction but to provide an overall picture of the traffic flow through the road network. This is made possible as each vehicle with a Bluetooth or WiFiTh enabled device onboard can be tracked through the road network.
The privacy of the owner of the Bluetooth® or WiFi® enabled device is protected as there is no link between the owner and the MAC address of the device.
Further, preferably, the data collected by the tracking of particular MAC addresses through the road network is used by the data server to indentify frequently used routes through the road network, which routes may be prioritised.
S Thus, busy routes through a network can be identified and the traffic signals on these routes can be adjusted to enhance the traffic flow along these routes.
Alternatively, where a busy route is identified as a route where it is undesirable to have a high volume of traffic, such as a rat run route, the traffic signals can be adjusted to slow dowii the traffic flow, with a consequent reduction in the use of the route.
Tn one enibodiment of the invention, the signal phase of the and each traffic signal within the road network is adjustable. iii near real time, so as to optimise the passage of a particular vehicle through the road network, based on the vehicle's MAC address.
Thus, the passage of public service vehicles, such as anibulances and fire engines, through the road network can be facilitated, once they are identified by the system.
Tn a frirther embodiment of the invention, a baseline picture of the traffic flow is established and stored, with a departure from the baseline picture being detected in the data server and a solution being generated so as to deal with this departure by adjustment of the signal phase of the or each traffic signal.
An advantage of the identification of changes in die traffic flow is that the effect of possible congestion and backup of traffic due to an accident can be rniniinised.
Preferably, a plurality of day and time dependent pictures of the S traffic flow are established and stored.
By establishing a bank of traffic flow pictures, the system can more effectively control the traffic flow on a time of day basis.
in a further embodiment of the invention, the and each sensor, located in proxinuty to a set of traffic signals under the control of a signal control unit, is in communication with the signal control unit, which signal control unit is in communication with the data server, such that the data from the sensor is communicated to the data server through the signal control unit.
An advantage of having the and each sensor in communication with the signal control unit is that the system can be integrated with a previously installed traffic signal control and optimisation system, such as SCATS.
The system according to the invention can be powered from the same source as the signal control unit with consequent savings on running costs.
Preferably, a router is located within the signal control unit, through which the data from the sensor is transmitted.
Thus, die same router, that is being used to communicate with a central control station as part of a previously installed traffic signal control and optirnisation system, can be utilised by the system in accordance with the invention with consequent savings.
S The invention will be further illustrated by the following description of embodiments thereof, given by way of example only with reference to the accompanying drawings in which: Fig. 1 is a schematic representation of a system in accordance with the invention; Fig. 2 is a schematic view of a section of a road network under die control of the system of Fig. 1; and Fig. 3 is a schematic view of the section of the road network of Fig. 2. following an alteration to the traffic flow.
Referring to Fig. 1, there is illustrated generally at 10, a system for managing vehicular traffic flow, controlled by sets of traffic signals 11, within a road network. Although only one set of traffic signals ii is iiulicated in Fig. 1 for the sake of clarity, it is to be understood that the system controls the and each set of traffic signals 11 in the road network.
System 10 comprises a plurality of sensors 12 locatable at various points 13 within the road network, the and each sensor 12 being adapted to detect vehicles 14 passing thereby, which vehicles 14 have a Bluetooth® or WiFi® enabled device 15 located therein, a data server 16 in communication with the and each sensor 12, such that, in use, data on the detected velucles 14 is collated within the data server 16 to generate an overall picture of the traffic flow across the road network, with the signal phase of the or each traffic signal II within the road network S being adjustable, in near real time, so as to optiinise traffic flow across the whole road network, based the generated overall picture of the traffic flow.
The data from the sensor 12 is communicated to the data server 1 6 through a router (not shown), located within a signal control wilt 17.
Tn use, the data collected by the sensor 12 located at point 13 is indicated by a first arrow "A" 1 8. Data on vehicular traffic through the set of traffic signals 11 is also being collected by sensors (not shown), which sensors form part of a SCATS system. This SCATS data is fed to the signal control unit I 7, as indicated by a second arrow "A" 19. Both sets of data 18, 19 are fed to the data server, as indicated by arrow "B" 20. Any adjustment instructions to the traffic signals 11, arising out of the collation of the data in the data server are communicated to the signal control unit 17, as indicated by arrow "C" 21.
The sensor 12 detects the MAC addresses of the BluetoothTh and \ViFi' enabled devices 15 and communicates these addresses to the data server 16, where they are recorded. As the vehicles 14 continue through the road network the MAC addresses are picked up by subsequent sensors 1 2. Thus, the vehicles 14 can be tracked through the road network and the data server 16 will identify frequently used routes through the road network, which routes may be prioritised.
Referring to Fig. 2, there is illustrated generally at 30, a section 31 of a road network under the control of the system in accordance with the S invention. Arrow 32 indicates the normal routing for the major flow of traffic along a road 33 through section 31.
Referring to Fig. 3, a crash 34 has occurred on the road 33 and the system has identified an irregular traffic pattern in section 3 1. Based on this information, the system optinlises the signal phasing/timings in section 31 so as to change the traffic routing, as indicated by arrow 35, in order to avoid the crash 34.
Claims (9)
- Claims: - 1. A system for managing vehicular traffic flow, controlled by sets of traffic signals, within a road network, the system comprising a plurality of sensors locatable at various points within the road network, S the and each sensor being adapted to detect vehicles passing thereby, which vehicles have a Bluetootl? or WiFi® enabled device located therein, a data server in communication with the and each sensor, such that, in use, data on the detected vehicles is collated within the data server to generate an overall picture of the traffic flow across the road network, with the signal phase of the or each traffic signal within the road network being adjustable, in near real time, so as to optmiise traffic flow across the whole road network, based on the generated overall picture of the traffic flow.
- 2. A system according to Claim 1, wherein the media access control address (MAC address), for each B1uetooth or WiFi® enabled device detected, is recorded and tracked through the road network by the data server.
- 3. A system according to Claim 2, wherein the data collected by the tracking of particular MAC addresses through the road network is used by the data server to indentify frequently used routes through the road network, which routes may be prioritised.
- 4. A system according to Claim 2 or 3, wherein the signal phase of the and each traffic signal within the road network is adjustable, in near real time, so as to optimise the passage of a particular vehicle through the road network, based on the vehicle's MAC address.
- 5. A system according to any preceding claim, wherein a baseline picture of the traffic flow is established and stored, with a S departure from the baseline picture being detected in the data server and a solution being generated so as to deal with this departure by adjustment of the signal phase of the or each traffic signal.
- 6. A system according to Claim 5, wherein a plurality of day and time dependent pictures of the traffic flow are established and stored.
- 7. A system according to any preceding claim, wherein the aiid each sensor, located in proximity to a set of traffic signals under the control of a signal control unit, is in communication with tile signal control unit, which signal control unit is in communication with the data server, such that the data from the sensor is communicated to the data server through the signal control unit.
- 8. A system according to Claim 7, wherein a router is located within the signal control unit, through which the data from the sensor is transmitted.
- 9. A system according to Claim 1 for managing vehicular traffic flow, controlled by sets of traffic signals, within a road network, substantially as hereinbefore described with particular reference to and as illustrated in the accompanying drawings.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB1313195.8A GB2516479A (en) | 2013-07-24 | 2013-07-24 | A system for managing vehicular traffic flow within a road network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB1313195.8A GB2516479A (en) | 2013-07-24 | 2013-07-24 | A system for managing vehicular traffic flow within a road network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| GB201313195D0 GB201313195D0 (en) | 2013-09-04 |
| GB2516479A true GB2516479A (en) | 2015-01-28 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB1313195.8A Withdrawn GB2516479A (en) | 2013-07-24 | 2013-07-24 | A system for managing vehicular traffic flow within a road network |
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| Country | Link |
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| GB (1) | GB2516479A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105336166A (en) * | 2015-11-02 | 2016-02-17 | 同济大学 | Traffic characteristic parameter extraction method based on vehicle Bluetooth |
| GB2535164A (en) * | 2015-02-09 | 2016-08-17 | Westcotec Ltd | Traffic flow rate measurement systems |
| WO2017115233A1 (en) * | 2015-12-28 | 2017-07-06 | Here Global B.V. | Method, apparatus and computer program product for traffic lane and signal control identification and traffic flow management |
| CN107564281A (en) * | 2017-08-24 | 2018-01-09 | 南京茶非氪信息科技有限公司 | A kind of macroscopical wagon flow volume forecasting algorithm based on WIFI signal |
| CN107689153A (en) * | 2017-08-24 | 2018-02-13 | 南京茶非氪信息科技有限公司 | A kind of traffic cross-sectional flow prediction algorithm based on WIFI signal |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114613158B (en) * | 2022-02-09 | 2023-09-22 | 阿里云计算有限公司 | Traffic control method, system and equipment |
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| US20030014180A1 (en) * | 2001-07-10 | 2003-01-16 | David Myr | Method for regional system wide optimal signal timing for traffic control based on wireless phone networks |
| WO2009086565A1 (en) * | 2008-01-03 | 2009-07-09 | Stanley Young | Monitoring a mobile device |
| EP2320403A2 (en) * | 2009-10-29 | 2011-05-11 | Siemens Corporation | Estimation of travel times using Bluetooth |
| US20120083996A1 (en) * | 2010-09-30 | 2012-04-05 | Siemens Corporation | Data Collection and Traffic Control Using Multiple Wireless Receivers |
| US20120276847A1 (en) * | 2011-04-29 | 2012-11-01 | Navteq North America, Llc | Obtaining vehicle traffic information using mobile Bluetooth detectors |
| GB2498876A (en) * | 2012-01-27 | 2013-07-31 | Siemens Plc | Estimating a traffic state of a road network by using an Extended Kalman Filter to combine data from vehicle probes and other sensors |
-
2013
- 2013-07-24 GB GB1313195.8A patent/GB2516479A/en not_active Withdrawn
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030014180A1 (en) * | 2001-07-10 | 2003-01-16 | David Myr | Method for regional system wide optimal signal timing for traffic control based on wireless phone networks |
| WO2009086565A1 (en) * | 2008-01-03 | 2009-07-09 | Stanley Young | Monitoring a mobile device |
| EP2320403A2 (en) * | 2009-10-29 | 2011-05-11 | Siemens Corporation | Estimation of travel times using Bluetooth |
| US20120083996A1 (en) * | 2010-09-30 | 2012-04-05 | Siemens Corporation | Data Collection and Traffic Control Using Multiple Wireless Receivers |
| US20120276847A1 (en) * | 2011-04-29 | 2012-11-01 | Navteq North America, Llc | Obtaining vehicle traffic information using mobile Bluetooth detectors |
| GB2498876A (en) * | 2012-01-27 | 2013-07-31 | Siemens Plc | Estimating a traffic state of a road network by using an Extended Kalman Filter to combine data from vehicle probes and other sensors |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2535164A (en) * | 2015-02-09 | 2016-08-17 | Westcotec Ltd | Traffic flow rate measurement systems |
| GB2535164B (en) * | 2015-02-09 | 2017-05-03 | Westcotec Ltd | Traffic flow rate measurement systems |
| CN105336166A (en) * | 2015-11-02 | 2016-02-17 | 同济大学 | Traffic characteristic parameter extraction method based on vehicle Bluetooth |
| WO2017115233A1 (en) * | 2015-12-28 | 2017-07-06 | Here Global B.V. | Method, apparatus and computer program product for traffic lane and signal control identification and traffic flow management |
| US10074272B2 (en) | 2015-12-28 | 2018-09-11 | Here Global B.V. | Method, apparatus and computer program product for traffic lane and signal control identification and traffic flow management |
| CN107564281A (en) * | 2017-08-24 | 2018-01-09 | 南京茶非氪信息科技有限公司 | A kind of macroscopical wagon flow volume forecasting algorithm based on WIFI signal |
| CN107689153A (en) * | 2017-08-24 | 2018-02-13 | 南京茶非氪信息科技有限公司 | A kind of traffic cross-sectional flow prediction algorithm based on WIFI signal |
| CN107689153B (en) * | 2017-08-24 | 2018-11-30 | 南京茶非氪信息科技有限公司 | A kind of traffic cross-sectional flow prediction algorithm based on WIFI signal |
Also Published As
| Publication number | Publication date |
|---|---|
| GB201313195D0 (en) | 2013-09-04 |
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| Date | Code | Title | Description |
|---|---|---|---|
| WAP | Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1) |