A hybrid traffic responsive intersection control algorithm using global positioning system and inductive loop data: (paper no 18-02779)
A hybrid traffic responsive intersection control algorithm using global positioning system and inductive loop data: (paper no 18-02779)
This paper compares the performance of a traffic responsive intersection controller which combines vehicle Global Positioning System (GPS) data and inductive loop information, to fixed-time, inductive loop, and GPS based controllers. The INRIX Global Traffic Scorecard reports that vehicles spent up to 42% of their travel time in congested traffic in 2016. Inefficient signal timing
choices by isolated intersection controllers contribute to traffic delays, causing severe negative impacts on the economy and environment. Signal timings can be improved using vehicles’ GPS information combined with vehicle flow information from inductive loops to overcome the control action deficit at isolated intersections. This proposed new signal control algorithm is beneficial for traffic engineers and governmental agencies, as optimised traffic flow can reduce fuel consumption and emissions.
The proposed traffic responsive Hybrid Vehicle Actuation (HVA) algorithm 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 to actuate intersection signal timings. When vehicle broadcast data are unavailable, HVA uses inductive loop data. Microscopic simulations comparing HVA to fixed-time control, inductive Loop Based Vehicle Actuation (Loop-VA) and GPS Based Vehicle Actuation (GPS-VA) on four urban road networks were carried out to see how the proposed HVA algorithm performs compared to existing control strategies. The results show that HVA is an effective alternative to traditional intersection control strategies, offering delay reductions of up to 32% over Loop-VA, for networks with 0 − 100% connected vehicle presence.
traffic control, intelligent transport system, intelligent transportation systems, Connected vehicles
Rafter, Craig, Benjamin
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Anvari, Bani
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Box, Simon
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Rafter, Craig, Benjamin
8f56b72d-8984-47e4-ae2a-f38a68fbad14
Anvari, Bani
f94e2ccb-1d88-4980-8d29-f4281995d072
Box, Simon
2bc3f3c9-514a-41b8-bd55-a8b34fd11113
Rafter, Craig, Benjamin, Anvari, Bani and Box, Simon
(2018)
A hybrid traffic responsive intersection control algorithm using global positioning system and inductive loop data: (paper no 18-02779).
In Proceedings of the Transportation Research Board 97th Annual Meeting.
19 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper compares the performance of a traffic responsive intersection controller which combines vehicle Global Positioning System (GPS) data and inductive loop information, to fixed-time, inductive loop, and GPS based controllers. The INRIX Global Traffic Scorecard reports that vehicles spent up to 42% of their travel time in congested traffic in 2016. Inefficient signal timing
choices by isolated intersection controllers contribute to traffic delays, causing severe negative impacts on the economy and environment. Signal timings can be improved using vehicles’ GPS information combined with vehicle flow information from inductive loops to overcome the control action deficit at isolated intersections. This proposed new signal control algorithm is beneficial for traffic engineers and governmental agencies, as optimised traffic flow can reduce fuel consumption and emissions.
The proposed traffic responsive Hybrid Vehicle Actuation (HVA) algorithm 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 to actuate intersection signal timings. When vehicle broadcast data are unavailable, HVA uses inductive loop data. Microscopic simulations comparing HVA to fixed-time control, inductive Loop Based Vehicle Actuation (Loop-VA) and GPS Based Vehicle Actuation (GPS-VA) on four urban road networks were carried out to see how the proposed HVA algorithm performs compared to existing control strategies. The results show that HVA is an effective alternative to traditional intersection control strategies, offering delay reductions of up to 32% over Loop-VA, for networks with 0 − 100% connected vehicle presence.
Text
Rafter_et_al_Hybrid_Intersection_Control_TRB_2018
- Accepted Manuscript
More information
Accepted/In Press date: September 2017
e-pub ahead of print date: 15 January 2018
Additional Information:
Related publication:
Rafter, C. B., Anvari, B., & Box, S. (2017). Traffic responsive intersection control algorithm using GPS data. Paper presented at 2017 20th International IEEE Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan.
Venue - Dates:
Transportation Research Board 97th Annual Meeting, Walter E. Washington Convention Center, Washington, United States, 2018-01-07 - 2018-01-11
Keywords:
traffic control, intelligent transport system, intelligent transportation systems, Connected vehicles
Identifiers
Local EPrints ID: 415632
URI: http://eprints.soton.ac.uk/id/eprint/415632
PURE UUID: d2ba34da-ba74-41c7-9971-3dbcecabaf7f
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Date deposited: 16 Nov 2017 17:30
Last modified: 15 Mar 2024 19:34
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Contributors
Author:
Craig, Benjamin Rafter
Author:
Simon Box
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