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Mashrur Chowdhury

Researcher at Clemson University

Publications -  219
Citations -  3740

Mashrur Chowdhury is an academic researcher from Clemson University. The author has contributed to research in topics: Intelligent transportation system & Traffic simulation. The author has an hindex of 26, co-authored 212 publications receiving 2960 citations. Previous affiliations of Mashrur Chowdhury include The Chinese University of Hong Kong & University of Dayton.

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Feasibility of 5G mm-wave communication for connected autonomous vehicles.

TL;DR: Using the evaluation framework developed in this paper, public agencies can evaluate 5G mm-wave to support CAVs in congested areas, such as heavy pedestrian areas like downtown, commercial zones, under their jurisdiction.
Journal ArticleDOI

Assessing the likelihood of secondary crashes on freeways with Adaptive Signal Control System deployed on alternate routes.

TL;DR: In this paper, the authors present a method for assessing the likelihood of freeway secondary crashes with adaptive signal control systems (ASCS) deployed on alternate routes that are typically used by diverted freeway traffic to avoid any delay or congestion due to a freeway primary crash.
Proceedings ArticleDOI

A distributed wireless sensor network system for transportation safety and security

TL;DR: Since the system can tolerate failure of parts of the system, as the network connectivity continues to increase, the proposed sensor network will have positive implications on evacuation plans during natural disasters or terrorist attacks.

Safety Analysis of Driveway Characteristics Along Major Urban Arterial Corridors in South Carolina

TL;DR: The results indicate that increasing the distance between driveways, increasing the number of entry lanes, and having a raised median will decrease driveway related crashes, and increasing driveway width, corridor volume and corridor speed limit will increase crashes.
Journal ArticleDOI

Situation-Aware Left-Turning Connected and Automated Vehicle Operation at Signalized Intersections

TL;DR: This article evaluated a situation-awareness module for left-turning CAV operations in an urban area and found that the situation-aware CAV controller module reduces up to 47% of the abrupt braking of the following non-CAVs for scenarios with different opposing through movement compared to the base scenario with the autonomous vehicle.