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Narayana Raju, Ph.D.
Narayana Raju, Ph.D.
TU Delft, TMU Toronto, SVNIT Surat
Bestätigte E-Mail-Adresse bei tudelft.nl
Titel
Zitiert von
Zitiert von
Jahr
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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