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Narayana Raju, Ph.D.
Narayana Raju, Ph.D.
TU Delft, TMU Toronto, SVNIT Surat
Verified email at tudelft.nl
Title
Cited by
Cited by
Year
Evolution of traffic microsimulation and its use for modeling connected and automated vehicles
N Raju, H Farah
Journal of Advanced Transportation 2021 (1), 2444363, 2021
532021
Application of trajectory data for investigating vehicle behavior in mixed traffic environment
N Raju, P Kumar, A Jain, SS Arkatkar, G Joshi
Transportation research record 2672 (43), 122-133, 2018
482018
Evaluating performance of selected vehicle following models using trajectory data under mixed traffic conditions
N Raju, S Arkatkar, G Joshi
Journal of Intelligent Transportation Systems 24 (6), 617-634, 2020
422020
Effect of construction work zone on traffic stream parameters using vehicular trajectory data under mixed traffic conditions
N Raju, S Arkatkar, G Joshi
Journal of Transportation Engineering, Part A: Systems 146 (6), 05020002, 2020
292020
Determining risk-based safety thresholds through naturalistic driving patterns using trajectory data on expressways
N Raju, P Kumar, S Arkatkar, G Joshi
Safety Science 119, 117-125, 2019
272019
Modeling following behavior of vehicles using trajectory data under mixed traffic conditions: an Indian viewpoint
N Raju, S Arkatkar, G Joshi
Transportation letters 13 (9), 649-663, 2021
232021
Examining smoothening techniques for developing vehicular trajectory data under heterogeneous conditions
N Raju, P Kumar, C Reddy, S Arkatkar, G Joshi
Journal of the Eastern Asia Society for Transportation Studies 12, 1549-1568, 2017
232017
Evaluating lateral interactions of motorized two-wheelers using multi-gene symbolic genetic programming
S Das, N Raju, AK Maurya, S Arkatkar
Transportation research record 2674 (9), 1120-1135, 2020
202020
Calibration of vehicle following models using trajectory data under heterogeneous traffic conditions
N Raju, P Kumar, A Chepuri, S Arkatkar, G Joshi
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
202017
Developing extended trajectory database for heterogeneous traffic like NGSIM database
N Raju, S Arkatkar, S Easa, G Joshi
Transportation Letters 14 (5), 555-564, 2022
182022
Customizing the following behavior models to mimic the weak lane based mixed traffic conditions
N Raju, S Arkatkar, S Easa, G Joshi
Transportmetrica B: transport dynamics 10 (1), 20-47, 2022
172022
Modeling vehicle collision instincts over road midblock using deep learning
S Patil, N Raju, SS Arkatkar, S Easa
Journal of Intelligent Transportation Systems, 1-15, 2023
132023
Can segregating vehicles in mixed-traffic stream improve safety and throughput? implications using simulation
G Paul, N Raju, S Arkatkar, S Easa
Transportmetrica A: Transport Science 17 (4), 1002-1026, 2021
122021
Modeling automated driving in microscopic traffic simulations for traffic performance evaluations: aspects to consider and state of the practice
H Farah, I Postigo, N Reddy, Y Dong, C Rydergren, N Raju, J Olstam
IEEE Transactions on Intelligent Transportation Systems 24 (6), 6558-6574, 2022
112022
Car-Following Properties of a Commercial Adaptive Cruise Control System: A Pilot Field Test
N Raju, W Schakel, N Reddy, Y Dong, H Farah
Transportation Research Record, 03611981221077085, 2022
112022
Validating Area Occupancy–Based Passenger Car Units and Homogeneous Equivalent Concept under Mixed Traffic Conditions in India
P Kumar, N Raju, A Mishra, SS Arkatkar, G Joshi
Journal of Transportation Engineering, Part A: Systems 144 (10), 04018064, 2018
102018
Examining Performance of an Urban Corridor Using Microscopic Traffic Simulation Model under Mixed Traffic Environment in India
A Chepuri, N Raju, MS Bains, S Arkatkar, G Joshi
European Transport \ Trasporti Europei 24 (69), 1-21, 2018
102018
Examining effect of bottleneck on multi-lane roads at midblock sections using simulation
N Raju, S Arkatkar, G Joshi
ASCE India Conference 2017, 697-705, 2017
102017
Investigating performance of a novel safety measure for assessing potential rear-end collisions: An insight representing a scenario in developing nation
N Raju, SS Arkatkar, S Easa, G Joshi
IATSS research, 2021
92021
Experiences of Supervised Machine Learning to Replicate Driving Behavior Under Traffic Environment
N Raju, SS Arkatkar, G Joshi
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
72019
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Articles 1–20