Amit Agarwal
Amit Agarwal
Assistant Professor @CED, Joint Faculty @MFS Data Science Artificial Intelligence, IIT Roorkee
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Zitiert von
Zitiert von
A paradigm shift in urban mobility: policy insights from travel before and after COVID-19 to seize the opportunity
A Thombre, A Agarwal
Transport Policy, 2021
An Elegant and Computationally Efficient Approach for Heterogeneous Traffic Modelling using Agent Based Simulation
A Agarwal, M Zilske, KR Rao, K Nagel
Procedia Computer Science 52 (C), 962-967, 2015
Modeling seepage behavior of smaller vehicles in mixed traffic conditions using an agent based simulation
A Agarwal, G Lämmel
Transportation in Developing Economies 2 (2), 8, 2016
Bicycle superhighway: An environmentally sustainable policy for urban transport
A Agarwal, D Ziemke, K Nagel
Transportation Research Part A: Policy and Practice 137, 519-540, 2020
The correlation of externalities in marginal cost pricing: Lessons learned from a real-world case study
A Agarwal, B Kickhöfer
Transportation, 2016
Incorporating within link dynamics in an agent-based computationally faster and scalable queue model
A Agarwal, G Lämmel, K Nagel
Transportmetrica A: Transport Science, 2017
Public Transport Operations after Lockdown: How to Make it Happen?
HK Suman, A Agarwal, NB Bolia
Transactions of the Indian National Academy of Engineers, 2020
Agent-Based Simultaneous Optimization of Congestion and Air Pollution: A Real-World Case Study
A Agarwal, B Kickhöfer
Procedia Computer Science 52 (C), 914-919, 2015
Seepage of Smaller Vehicles under Heterogeneous Traffic Conditions
A Agarwal, G Lämmel
Procedia Computer Science 52 (C), 890-895, 2015
Calibration of choice model parameters in a transport scenario with heterogeneous traffic conditions and income dependency
A Agarwal, D Ziemke, K Nagel
Transportation Letters: The International Journal of Transportation Research, 2019
Mind the price gap: How optimal emission pricing relates to the EU CO2 reduction targets
B Kickhöfer, A Agarwal, K Nagel
International Journal of Sustainable Transportation 13 (5), 378-391, 2019
Mitigating negative transport externalities in industrialized and industrializing countries
A Agarwal
PhD thesis, TU Berlin, Berlin, 2017
On-road air pollution exposure to cyclists in an agent-based simulation framework
A Agarwal, I Kaddoura
Periodica Polytechnica Transportation Engineering 48 (2), 117-125, 2020
Person-based dynamic traffic assignment for mixed traffic conditions
A Agarwal, M Zilske, KR Rao, K Nagel
Conference on Agent-Based Modeling in Transportation Planning and Operations, 2013
Perceived behavioural changes in commuters' mobility aspect due to COVID situation
V Singh, K Gupta, A Agarwal, N Chakrabarty
18th International Conference of Women Engineers and Scientists (ICWES …, 2021
The internalization of congestion and air pollution externalities: Evaluating behavioral impacts
A Agarwal, B Kickhöfer, K Nagel
14th International Conference on Travel Behaviour Research, Windsor, 2015
Simulation-based optimization of congestion, noise and air pollution costs: The impact of transport users’ choice dimensions
I Kaddoura, A Agarwal, B Kickhöfer
ITEA Annual Conference and School on Transportation Economics, 17-19, 2017
Route Guidance Map for Emergency Evacuation
Lakshay, A Agarwal, N Bolia
Journal of Risk Analysis and Crisis Response 6 (3), 135 - 144, 2016
Quantifying Health & Economic Benefits of Bicycle Superhighway: Evidence from Patna
A Agarwal
Procedia Computer Science 184, 2021
Deep-learning spatio-temporal prediction framework for PM under dynamic monitoring
V Mittal, S Sasetty, R Choudhary, A Agarwal
Transportation Research Record, 2022
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