Doppler ultrasound based methods are widely used in investigating the vascular hemodynamics and to quantize the blood flow dynamics. But conventional Doppler ultrasound techniques are limited to the investigation of axial flows as it is not sensitive to the transverse flow component. When it comes to non-invasive imaging of the human vasculature, as most of the blood vessels are parallel to the skin surface, the flow is transverse and hence conventional Doppler estimates are not reliable. To tackle this, various methods like cross beam Doppler, cross-correlation methods and multi-transmit multi-receive schemes have been developed in the recent past. Most of the strategies in this regard use plane waves which are electronically steered at different angles for insonification. In this work, the performance of a triangulation based algorithm with non-steered plane wave transmit is investigated for transverse flows. The algorithm makes a best fit out of the triangulation estimates with different receive angles so that the variability in vector estimation with the receive angles are reduced. The performance of the developed algorithm is evaluated with extensive simulations using Field II. The algorithm is tested with different flow profiles at different velocities and the estimates are shown to be promising and the accuracy is comparable with that of other vector flow imaging methods. © 2020 SPIE.