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Amit Agarwal
Amit Agarwal Assistant Professor amitfce[at]iitr.ac.in +91-1332-285441 Website
Areas of Interest
  • Smart and connected mobility, travel demand modeling, sustainable transport
  • Urban traffic simulations, agent-based simulation, traffic flow modeling, heterogeneous traffic
  • Modeling, and assessment of transport emissions, air pollution exposures
Professional Background
FromToDesignationOrganisation
Dec. 2018contd.Assistant ProfessorIIT Roorkee
Aug. 2018Dec. 2018Senior Research ScientistRobert Bosch Singapore
Mar. 2017Aug. 2018Research associateTU Berlin, Germany
Jun. 2012Apr. 2013Dy. ManagerICT Pvt. Ltd. New Delhi, India
Jan. 2010May. 2010LecturerSBCET Jaipur, India
Jul. 2009Dec. 2009Derivative TraderFutures First Jaipur, India
Honors and Awards
AwardInstituteYear
Best student paper awardCTRG, Mumbai2017
Best paper awardABMTRANS2015
PhD ScholarshipDAAD2013-2017
NBCC Award of ExcellenceIIT Delhi, India2012
IIT Master Sandwich ScholarshipDAAD2011-2012
MHRD FellowshipGovt of India2010-2011
Educational Details
DegreeSubjectUniversityYear
Ph.D.Transportation EngineeringTU Berlin, Germany2017
M. Tech.Transportation EngineeringIIT Delhi, India2012
B. TechCivil EngineeringMNIT Jaipur, India2009
Sponsored Research Projects
TopicFunding AgencyYear
Scenario calibration by integrating optimization techniques to an agent-based transport simulationIIT Roorkee2019
Memberships
  • Institution of Engineers (India), Member
  • TRG India, Life member
  • ITEA, Member
Teaching Engagements
TitleCourse CodeClass NameSemester
Urban mass transit systemsCEN 664M. TechSpring
Highway and traffic engineeringCEN 210B. TechSpring
Participation in short term courses
Couse NameSponsored ByDate
20th International Course on Transportation Planning and Road SafetyTRIPP, IIT Delhi2010
Special Lectures Delivered
TitlePlaceDate
Use of agent-based transport simulation framework for scenario calibration and policy investigationSVNIT Surat2018
Refereed Journal Papers

Journal publications

  1. Agarwal, A. and I. Kaddoura (2019). “On-road air pollution exposure to cyclists in an agent-based simulation framework”. In Periodica Polytechnica  Transportation Engineering; DOI: 10.3311/PPtr.12661
  2. Kickhöfer, B.,  A. Agarwal and K. Nagel (2018). “Mind the price gap: how optimal emission pricing relates to the EU CO2 reduction targets”. In: International Journal of Sustainable Transportation; DOI: 10.1080/15568318.2018.1472321.
  3. Agarwal, A. and B. Kickhöfer (2018). “The correlation of externalities in marginal cost pricing: lessons learned from a real-world case study”. In: Transportation, 45:849. DOI: 10.1007/s11116-016-9753-z.
  4. Agarwal, A., G. Lämmel, and K. Nagel (2017). “Incorporating within link dynamics in an agent-based computationally faster and scalable queue model”. In: Transportmetrica A: Transport Science. DOI: 10.1080/23249935.2017.1364802.
  5. Agarwal, A. and G. Lämmel (2016). “Modeling seepage behavior of smaller vehicles in mixed traffic conditions using an agent-based simulation”. In: Transp. in Dev. Econ. 2:8, pp. 1–12. DOI: 10.1007/s40890-016-0014-9.
  6. Lakshay, A. Agarwal, and N. B. Bolia (2016). “Route guidance map for emergency evacuation”. In: Journal of Risk Analysis and Crisis Response 6.3, pp. 135– 144. DOI: 10.2991/jrarc.2016.6.3.3.
  7. Agarwal, A. and B. Kickhöfer (2015). “Agent-based simultaneous optimization of congestion and air pollution: A real-world case study”. In: Procedia Computer Science 52.C, pp. 914–919. ISSN: 1877-0509. DOI: 10.1016/j.procs.2015.05.165.
  8. Agarwal, A. and G. Lämmel (2015). “Seepage of smaller vehicles under heterogeneous traffic conditions”. In: Procedia Computer Science 52.C, pp. 890–895. ISSN: 1877-0509. DOI: 10.1016/j.procs.2015.05.147.
  9. Agarwal, A., M. Zilske, K. Rao, and K. Nagel (2015). “An elegant and computationally efficient approach for heterogeneous traffic modelling using agent-based simulation”. In: Procedia Computer Science 52.C, pp. 962–967. ISSN: 1877-0509. DOI: 10.1016/j.procs.2015.05.173.

Conferences / In proceedings

  1. Ziemke, D., I. Kadoura and A. Agarwal (2019). “Entwicklung eines regionalen, agentenbasierten Verkehrssimulationsmodells zur Analyse zukünftiger Verkehrsszenarien für die Region Ruhr”. In: 10. Wissenschaftsforum Mobilität : Mobility in Times of Change - Past - Present - Future. Ed. Proff H. Springer Gabler. DOI: 10.1007/978-3-658-26107-8_29.
  2. Agarwal, A. and A. Dhamaniya (2018). "Impact of dynamic passenger car units in an agent-based simulation framework". In: Recent Advances in Traffic Engineering (RATE-2018), India.
  3. Agarwal, A. and I. Kaddoura (2018). “On-road air pollution exposure to cyclists in an agent-based simulation framework”. In: NECTAR Cluster 7 Workshop: Social and Health Issues in Transportation. See VSP WP 17-22 at http://www.vsp.tu-berlin.de/publications/vspwp/. Utrecht.
  4. Agarwal, A., G. Flötteröd, and K. Nagel (2017). “Calibration of behavioural parameters using optimization technique in an agent-based transport simulation”. In: hEART 2017 – 6th Symposium of the European Association for Research in Transportation.
  5. Agarwal, A., D. Ziemke, and K. Nagel (2017). “Calibration of heterogeneous traffic scenario in an agent-based simulation framework”. In: 4th Conference of the Transportation Research Group of India (CTRG). See VSP WP 17-13 at http://www.vsp.tu-berlin.de/publications/vspwp/.
  6. Kaddoura, I., A. Agarwal, and B. Kickhöfer (2017). “Simulation-based optimization of congestion costs, noise damages and air pollution costs: the impact of route and mode choice”. In: ITEA Annual Conference and School on Transportation Economics. See VSP WP 17-19 at http://www.vsp.tu-berlin.de/publications/vspwp/.
  7. Agarwal, A., G. Lämmel, and K. Nagel (2016). “Modelling of Backward Travelling Holes in Mixed Traffic Conditions”. In: Traffic and Granular Flow ’15. Ed. by V. L. Knoop and W. Daamen. 1st ed. Delft, NL: Springer International Publishing. Chap. 53, pp. 419–426. ISBN: 978-3-319-33482-0. DOI: 10.1007/978-3-319-33482-0_53.
  8. Agarwal, A., B. Kickhöfer, and K. Nagel (2015). “The internalization of congestion and air pollution externalities: Evaluating behavioral impacts”. In: 14th Conference on Travel Behaviour Research (IATBR). See VSP WP 15-11 at http://www.vsp.tu-berlin.de/publications/vspwp/. Windsor, England. URL: www.iatbr.org.
  9. Agarwal, A. and G. Lämmel (2015). “Modeling seepage behavior of smaller vehicles in mixed traffic conditions using an agent-based simulation”. In: 3rd Conference of the Transportation Research Group of India (CTRG). See VSP WP 15-09 at http://www.vsp.tu-berlin.de/publications/vspwp/. Kolkata, India.
  10. Kickhöfer, B. and A. Agarwal (2015). “Is marginal emission cost pricing enough to comply with the EU CO2 reduction targets?” In: hEART 2015 – 4th Symposium of the European Association for Research in Transportation. See VSP WP 15-16  at http://www.vsp.tu-berlin.de/publications/vspwp/.
  11. Agarwal, A., M. Zilske, K. Rao, and K. Nagel (2013). “Person-based dynamic traffic assignment for mixed traffic conditions”. In: Conference on Agent-Based Modeling in Transportation Planning and Operations. See VSP WP 12-11 at http://www.vsp.tu-berlin.de/publications/vspwp/. Blacksburg, Virginia, USA.

Working papers

  1. Agarwal, A., D. Ziemke, and K. Nagel (revision submitted, 2017). “Bicycle superhighway: an environmentally sustainable policy for urban transport”. Manuscript in revision for Transportation Research Part A: Policy and Practice; see VSP WP 17-16 at http://www.vsp.tu-berlin.de/publications/vspwp/.
  2. Agarwal, A., D. Ziemke, and K. Nagel (submitted, 2017). “Calibration of Choice Model Parameters in a Transport Scenario with Heterogeneous Traffic Conditions and Income Dependency”. Manuscript submitted for Transportation Letters: The International Journal of Transportation Research; See  VSP WP 17-21 at http://www.vsp.tu-berlin.de/publications/vspwp/.
  3. Kaddoura, I., A. Agarwal, and B. Kickhöfer (revision submitted, 2017). “Simulation-based optimization of congestion, noise and air pollution costs: The impact of transport users choice dimensions”. Manuscript submitted for Networks and Spatial Economics; See VSP WP 17-19 at http://www.vsp.tu-berlin.de/ publications/vspwp/.

Others

  1. Agarwal, A. (2017). “Mitigating negative transport externalities in industrialized and industrializing countries”. PhD thesis. Berlin: TU Berlin. DOI: 10.14279/depositonce-5825.
  2. Agarwal, A. (2016). “Patna”. In: The Multi-Agent Transport Simulation MATSim. Ed. by A. Horni, K. Nagel, and K. W. Axhausen. Ubiquity, London. Chap. 77. DOI: 10.5334/baw. URL: http://matsim.org/the-book.
  3. Agarwal, A. and B. Kickhöfer (2014). A Combined Marginal Social Cost Approach for Automobile Emissions and Congestion. DOI: 10.14279/depositonce-5764.
  4. Agarwal, A. (2012). “Agent-based simulation of the travel demand for Patna City, India”. Master's thesis. India: Indian Institute of Technology, Delhi.