S
S. Moses Santhakumar
Researcher at National Institute of Technology, Tiruchirappalli
Publications - 10
Citations - 74
S. Moses Santhakumar is an academic researcher from National Institute of Technology, Tiruchirappalli. The author has contributed to research in topics: Traffic flow & Traffic flow (computer networking). The author has an hindex of 2, co-authored 9 publications receiving 11 citations.
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Journal ArticleDOI
Evaluation of Lane-Based Traffic Characteristics of Highways Under Mixed Traffic Conditions by Different Methods
TL;DR: In this paper, a comparison of the lane-based vehicle speeds and estimation of lanebased Dynamic Passenger Car Unit (DPCU) is carried out, and the estimated DPCU values for vehicles on Median Lane (ML) and Kerb Lane (KL), as well as the entire roadway (RW), are compared with the Indo-HCM:2017, and IRC-64:1990 suggested DPCUs and PCUs, respectively.
Journal ArticleDOI
Platoon-Based Impact Assessment of Heavy-Duty Vehicles on Traffic Stream Characteristics of Highway Lanes Under Mixed Traffic Environment
TL;DR: In this article, the authors investigated the impact of multi-class heavy duty vehicles (HDVs) on the speed and flow rates of each highway lane under platooning conditions and proposed recommendations to mitigate the adverse impacts of multiple-class HDVs on the highways to enhance the speed.
Journal ArticleDOI
Empirical analysis of impact of multi-class commercial vehicles on multi-lane highway traffic characteristics under mixed traffic conditions
TL;DR: In this article, the authors quantify the impact of the varying proportion of multi-class commercial vehicles (CVs) on the speed, dynamic passenger car unit (DPCU), capacity, and level of service (LoS) of the highways through empirical analysis.
Analysis of Traffic Flow Characteristics Based on Area-Occupancy Concept on Urban Arterial Roads Under Heterogeneous Traffic Scenario—A Case Study of Tiruchirappalli City
TL;DR: The study shows that the traffic stream characteristics analysed using the speed–flow–area-occupancy method give reliable and consistent results with the highest values of goodness-of-fit parameter coefficient of determination (R2) when compared to the speed-flow–density method.
Proceedings ArticleDOI
Infra-Red Sensor-Based Technology for Collecting Speed and Headway Data on Highways Under Mixed Traffic Conditions
TL;DR: Using a traffic detector device based on IR sensors, a large amount of accurate speed and headway data were obtained on Indian highways that exhibits heterogeneity in its traffic composition, and the results show that speed andHeadway data follow different probability distribution functions under different traffic flow and traffic density levels.