Scipediacontent: Scipediacontent moved page Draft Content 454452638 to Rafter et al 2017a

2021-02-03T16:40:44Z

Scipediacontent moved page Draft Content 454452638 to Rafter et al 2017a

Scipediacontent: Created page with " == Abstract == This paper reports on the performance of signalised intersection control using vehicle GPS information compared to fixed-time and inductive loop based control..."

2021-02-03T16:40:42Z

Created page with " == Abstract == This paper reports on the performance of signalised intersection control using vehicle GPS information compared to fixed-time and inductive loop based control..."

New page

== Abstract ==

This paper reports on the performance of signalised intersection control using vehicle GPS information compared to fixed-time and inductive loop based control. Traffic congestion forecasts estimate an increase of about 60% in 2030. At present, poor choice of signal timings by isolated intersection controllers cause traffic delays that have enormous negative impacts on the economy and environment. Signal timings can be improved by using vehicles' GPS information to overcome the control action deficit at isolated intersections. This new signal control algorithm is beneficial for traffic engineers and governmental agencies, as traffic flow can be optimised and, hence, fuel consumption and emissions decreased. Under the open European Telecommunication Standards Institute (ETSI) Cooperative Awareness Message (CAM) framework, a traffic responsive GPS based vehicle actuation algorithm (GPS-VA) is proposed. GPS-VA uses position and heading data from vehicle status broadcasts, and inferred velocity information to determine vehicle queue lengths and detect vehicles passing through the intersection. The gathered information is then used to actuate intersection signal timings. Microscopic simulations comparing GPS-VA to fixed-time control and inductive loop based vehicle actuation (Loop-VA) on four urban road networks were performed to see how the proposed GPS-VA algorithm performs compared to existing control strategies. The results show that the GPS-VA is an effective alternative to traditional intersection control strategies, offering delay reductions of up to 50% for connected vehicle fleet penetrations above 30%.

== Original document ==

The different versions of the original document can be found in:

* [https://eprints.soton.ac.uk/414452 https://eprints.soton.ac.uk/414452]

* [https://eprints.soton.ac.uk/414452/1/cbrafter_TrafficResponsiveGPSControlAlgorithm_IEEEITSC2017.pdf https://eprints.soton.ac.uk/414452/1/cbrafter_TrafficResponsiveGPSControlAlgorithm_IEEEITSC2017.pdf]

* [http://xplorestaging.ieee.org/ielx7/8307147/8317580/08317795.pdf?arnumber=8317795 http://xplorestaging.ieee.org/ielx7/8307147/8317580/08317795.pdf?arnumber=8317795],
: [http://dx.doi.org/10.1109/itsc.2017.8317795 http://dx.doi.org/10.1109/itsc.2017.8317795]

* [https://dblp.uni-trier.de/db/conf/itsc/itsc2017.html#RafterAB17 https://dblp.uni-trier.de/db/conf/itsc/itsc2017.html#RafterAB17],
: [https://doi.org/10.1109/ITSC.2017.8317795 https://doi.org/10.1109/ITSC.2017.8317795],
: [https://eprints.soton.ac.uk/414452 https://eprints.soton.ac.uk/414452],
: [https://academic.microsoft.com/#/detail/2793711320 https://academic.microsoft.com/#/detail/2793711320]

* [https://discovery.ucl.ac.uk/id/eprint/10058847 https://discovery.ucl.ac.uk/id/eprint/10058847],
: [https://discovery.ucl.ac.uk/id/eprint/10058847/1/Rafter%20et%20al.-Traffic%20Responsive%20Intersection%20Control%20Algorithm%20Using%20GPS%20Data_PID4932119.pdf https://discovery.ucl.ac.uk/id/eprint/10058847/1/Rafter%20et%20al.-Traffic%20Responsive%20Intersection%20Control%20Algorithm%20Using%20GPS%20Data_PID4932119.pdf]

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Rafter et al 2017a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 454452638 to Rafter et al 2017a

Scipediacontent: Created page with " == Abstract == This paper reports on the performance of signalised intersection control using vehicle GPS information compared to fixed-time and inductive loop based control..."