Using Direction of Arrival to Detect Cognitive Traffic Sign in City Environments

Chi Kun Lin, Gwo Jiun Horng, Chi Hsuan Wang, Jar Ferr Yang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This paper proposes a novel cognitive traffic signs approach. We considered several traffic signs including: right turn ban, “Be careful pedestrian!”, “Car Park” etc. The cognitive radio devices on the traffic signs transmit signals to the on-board-unit (OBU) on the car. We assume that radio frequency devices are attached to the traffic signs in the urban area. Traffic signals are transmitted to cars at every t time. We consider the use of direction of arrival model on the OBU unit on the car to receive the signal. The radio devices must be the same direction as the driving direction in two-way street such that cars in the opposite direction will not received the signals. Driving direction and the traffic signs are usually in the same direction. The current study evaluates the performance of the approach by conducting computing simulations.

Original languageEnglish
Pages (from-to)693-708
Number of pages16
JournalWireless Personal Communications
Issue number2
Publication statusPublished - 2014 Jan

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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