Context-Aware Intelligent Traffic Light Control through Secure Messaging

In this paper, we propose STCM, a context-aware secure traffic control model to manage competing traffic flows at a given intersection by using secure messages with real-time traffic information. The vehicle is modeled as a virtual sensor which reports the traffic state, such as its speed and locati...

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Bibliographic Details
Published in:Journal of advanced transportation 2018-01, Vol.2018 (2018), p.1-10
Main Authors: Özkul, Mükremin, Domnori, Elton, Capuni, Ilir
Format: Article
Language:English
Subjects:
Adaptive control
Ambient intelligence
Ambulances
Camcorders
Cameras
Communication
Computer simulation
Context
Controllers
Decision making
Emergency vehicles
Energy consumption
Fire fighting
Infrastructure
Messages
Privacy
Real time
Roads & highways
Sensors
Traffic congestion
Traffic control
Traffic flow
Traffic information
Traffic management
Traffic models
Traffic signals
Traffic speed
Transportation
Trucks
Vehicles
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Summary:In this paper, we propose STCM, a context-aware secure traffic control model to manage competing traffic flows at a given intersection by using secure messages with real-time traffic information. The vehicle is modeled as a virtual sensor which reports the traffic state, such as its speed and location, to a traffic light controller through a secure and computationally lightweight protocol. During the reporting process, a vehicle’s identity and location are kept anonymous to any other vehicle in the system. At an intersection, the traffic light controller receives the messages with traffic information, verifies the identities of the vehicles, and dynamically implements and optimizes the traffic light phases in real-time. Moreover, the system is able to detect the presence of emergency vehicles (such as ambulances and fire fighting trucks) in the communication range and prioritize the intersection crossing of such vehicles to in order to minimize their waiting times. The simulation results demonstrate that the system significantly reduces the waiting time of the vehicles in both light and heavy traffic flows compared to the pretimed signal control and the adaptive Webster’s method. Simulation results also yield effective robustness against impersonating attacks from malicious vehicles.
ISSN:0197-6729
2042-3195
DOI:10.1155/2018/4251701