Camille Kamga
Professor
Building
Marshak Science Building
Office
917
Phone
212-650-8087
Camille Kamga
Profile
Dr. Camille Kamga is a Professor of Civil Engineering at the City College of New York. He has been the Acting Director and Director of the Region 2 – University Transportation Research Center (UTRC) since 2009 and the Associate Director of the CUNY Institute for Urban Systems (CIUS) since 2002. He is leading UTRC in innovative research, education, and technology transfer programs; addressing issues of urban mobility and sustainability; as well as concepts and technologies related to Big Data applications to transportation and traffic engineering. Dr. Kamga has chaired many sessions at national, as well as international conferences. Since 2010, he has continued to serve in a leadership capacity as member of the Board of Directors of the Intelligent Transportation Society of New York (ITS-NY) - a professional group providing education and outreach to foster the understanding of ITS applications and technologies. He chairs the education committee of the society. He is member of the TRB Standing Committee on Urban Transportation Data and Information Systems (AED20), member of the TRB Travel Time, Speed, and Reliability Subcommittee (AED20(3)), and serves as the coordinator of the Research Council for AED20. He also serves in many other professional organizations and committees. He serves on the Executive Committee of the Council of University Transportation Centers from 2021 to 2024
Dr. Kamga’s research interests include: intelligent transportation system; modeling and traffic simulation; analysis of very large transportation networks; use of real-time information for travel; transportation modeling using mobile sensors; transportation planning and policy, transportation operations; sustainability and environment; and transportation safety. Since 2012, Dr. Kamga has spearheaded an annual symposium of Automated and Connected Vehicles in Federal Region 2.
Dr. Kamga’s research has been funded by numerous grants from the U.S. Department of Transportation; the New York State Department of Transportation; the New York Metropolitan Transportation Council; the New York State Energy and Research Development Authority; the New Jersey Department of Transportation; New York City Department of Transportation; New York City Transit; the Port Authority of New York & New Jersey; the National Science Foundation, and the Volvo Research and Education Foundation.
Education
Courses Taught
CEI2600 – Urban Transportation Planning
G4900 - Transportation Network Analysis
CE I2400 - Analytical Techniques in Transportation
CE 32600 - Transportation Planning
CE 327: Transportation Systems Engineering
Research Interests
Intelligent Transportation Systems
Publications
Kamga, C., Vicuna, P., Mouskos, K., (2023) Sensitivity Analysis on the Impact of Candidate Transit Projects on the Network Travel Time Evaluated by a Travel Demand Model, Journal of Ubiquitous Systems & Pervasive Networks, JUSPN, volume-19 , Issue 1, PP 47 – 60. DOI: 10.5383/JUSPN.19.01.006 |
Kamga, C.; Kish, R.; Mudigonda, S.; Tchamna, R. (2023) Utilizing Social Media Data for Estimating Transit Performance Metrics. Sustainability, 15, 16183. https://doi.org/10.3390/su152316183 |
Moghimidarzi, B., Kamga, C., Safikhani, A., Mudigonda, S., Vicuna, P.F., (2022) Non-Stationary Time Series Model for Station-Based Subway Ridership During Covid-19 Pandemic: Case Study: New York City, Transportation Research Record 2677 (4), 463-477. https://doi.org/10.1177/03611981221084698 |
Kamga, C., Tchamna, R., Vicuna, P., Mudigonda, S., and Moghimidarzi, B., (2021) An estimation of the effects of social distancing measures on transit vehicle capacity and operations, Transportation Research Interdisciplinary Perspectives, Volume 10. doi.org/10.1016/j.trip.2021.100398
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Kamga, C. and Eickemeyer P., (2021) Slowing the Spread of COVID-19: Review of “Social Distancing” Interventions Deployed by Public Transit in the United States and Canada, Journal of Transport Policy. Volume 106 pp. 25-36. doi.org/10.1016/j.tranpol.2021.03.014
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Safikhani, A., Kamga, C., Mudigonda, S., Faghih, S., Moghimi, B., (2020) Spatio-temporal modeling of yellow taxi demands in New York City using generalized STAR models, International Journal of Forecasting, Volume 36, Issue 3, Pages 1138-1148, ISSN 0169-2070, https://doi.org/10.1016/j.ijforecast.2018.10.001. |
Moghimidarzi, B., Kamga, C., and Zamanipour, M., (2020) Look-Ahead Transit Signal Priority Control with Self-Organizing Logic, Journal of Transportation Engineering, Part A: Systems, Volume 146 Issue 6.
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Moghimidarzi, B., Safikhani, A., Kamga, C., Hao, W., Ma, J., (2019), Short-Term Prediction of Signal Cycle on an Arterial with Actuated-Uncoordinated Control Using Sparse Time Series Models, IEEE Transactions on Intelligent Transportation Systems. Print ISSN: 1524-9050, Online ISSN: 1558-0016, Digital Object Identifier: 10.1109/TITS.2018.2870400 |
Tchamna, R., Qyyum, M.A., Zahoor, M., Kamga, C., Kwok, E., and Lee, M., (2019) Analytical design of constraint handling optimal two parameter internal model control for dead-time processes, Korean J. Chem. Eng., 36(3), 356-367, DOI: 10.1007/s11814-018-0215-5, pISSN: 0256-1115, eISSN: 1975-7220 |
Faghih, S., Safikhani, A., Moghimidarzi, B., Kamga, C., (2019) Predicting Short-Term Uber Demand in New York City Using Spatiotemporal Modeling, ASCE's Journal of Computing in Civil Engineering, Vol. 33, Issue 3, DOI:10.1061/(ASCE)CP.1943-5487.0000825 |
Moghimi, B., Kalantari, N., Kamga, C., & Mouskos, K. (2018). Simultaneous Optimization of Signal Timing and Capacity Improvement in Urban Transportation Networks Using Simulated Annealing. arXiv preprint arXiv:1802.01717. |
Almotahari, A., Yazici, M.A., Mudigonda, S., and Kamga, C., (2018) Analysis of Incident-Induced Capacity Reductions for Improved Delay Estimation, Journal of Transportation Engineering, Part A: Systems, Vol. 145, Issue 2, DOI: 10.1061/JTEPBS.0000207 |
Singhal, A., Kamga, C., Agrawal, K.A., (2018) LADAR-based collision warning sensor to prevent over-height vehicle bridge hits, IET Journals, The Institute of Engineering and Technology, ISSN 1751-956X, doi: 10.1049/iet-its.2017.0117 |
Moghimidarzi, S., Safikhani, A., Kamga, C., and Hao, W., (2018) Cycle-Length Prediction in Actuated Traffic-Signal Control Using ARIMA Model, Journal of Computing in Civil Engineering, ASCE, 32(2); 04017083 |
Hao, W., Moghimi, B., Yang, X., Kamga, C., Wang, Y., Xiao, L., Liu, Z., (2017) Effects of foggy conditions on driver injury levels in U.S. highway-rail grade crossing accidents, Case Studies on Transport Policy, Volume 5, Issue 4, Pages 627-633, ISSN 2213-624X, https://doi.org/10.1016/j.cstp.2017.08.008. |
Conway, A., Cheng, J., Kamga, C., Wan, D., (2017) Cargo cycles for local delivery in New York City: performance and impacts, Research in Transportation Business and Management. Volume 24, Pages 90-100. |
Yazici, M.A., Mudigonda, S., and Kamga, C., (2017) Incident Detection Through Twitter: Organization Versus Personal Accounts, Transportation Research Record: Journal of the Transportation Research Board, No. 2643, 2017, pp. 121–128 http://dx.doi.org/10.3141/2643-14 |
Hao, W., Kamga, C., Yang, X., Ma, J., Thorson, E., Zhong, M., Wu, C., (2016) Driver injury severity study for truck involved accidents at highway-rail grade crossings in the United States, Transportation Research Part F: Traffic Psychology and Behaviour, Volume 43, Pages 379-386. |
Hao, W., Kamga, C., Wan, D., (2016) The effect of time of day on driver's injury severity at highway-rail grade crossings in the United States, Journal of Traffic and Transportation Engineering, Volume 3, Issue 1, Pages 37-50. |
Wan, D., Kamga, C., Liu, J., Sugiura, A., Beaton, E., (2016). Rider perception of a “light” Bus Rapid Transit system-The New York City Select Bus Service. Transport Policy, 49, pp. 41-55. https://doi.org/10.1016/j.tranpol.2016.04.001 |
Yazici, M.A., Kamga, C., and Singhal, A., (2016), Modeling Taxi Drivers’ Decisions for Improved Airport Ground Access: John F. Kennedy Airport Case. Transportation Research Part A – Policy and Practice, Volume 91, pp. 48–60. |
Wan, D., Kamga, C., Hao, W., Sugiura, A., Beaton, E., (2016). Customer satisfaction with Bus Rapid Transit: a study of New York City Select Bus Service applying structural equation modeling, Public Transport. DOI 10.1007/s12469-016-0135-x |
Hao, W., Kamga, C., (2015). Difference in rural and urban driver-injury severities in highway–rail grade crossing accidents. International Journal of Injury Control and Safety Promotion, DOI: 10.1080/17457300.2015.1088039. |
Hao, W., Kamga, C., (2015), The Effects of Lighting on Driver’s Injury Severity at Highway-rail Grade Crossings. Journal of Advanced Transportation, DOI: 10.1002/atr.1353 |
Hao, W., Kamga, C., Daniel, J., (2015) The effect of age and gender on motor vehicle driver injury severity at highway-rail grade crossings in the United States, Journal of Safety Research. Volume 55, pp. 105–113. |
Yazici, M.A., Kamga, C., Ozbay, K., (2015) Evaluation of Incident Management Impacts Using Stochastic Dynamic Traffic Assignment, Transportation Research Procedia, Volume 10, pp. 186-196. |
Kamga, C., Yazici, M.A., and Singhal, A., (2015) Analysis of Taxi Demand and Supply in New York City: Implications on Recent Taxi Regulations; Transportation Planning and Technology. Volume 38, Issue 6, pp. 601-625. |
Kamga, C., (2015) Emerging Travel Trends, High-Speed Rail, and the Public Reinvention of U.S. Transportation; Transport Policy, Volume 37, pp. 111-120. |
Singhal, A., Kamga, C., Yazici, M.A., (2014) Impact of weather on urban transit ridership Transportation Research Part A – Policy and Practice, Volume 69, pp. 379-391. |
Kamga, C. and Yazici*, M. A. (2014) Achieving Environmental Sustainability Beyond Technological Improvements of Existing Transportation Modes: A Role for High-Speed Rail in the United States of America; Transportation Research Part D - Transport and Environment, Volume 31 pp.148–164. |
Kamga, C., Yazici, M.A., (2014) Temporal and weather related variation patterns of urban travel time: Considerations and caveats for value of travel time, value of variability, and mode choice studies. Transportation Research Part C – Emerging Technologies, Volume 45, pp. 4-16. |
Miller, B., Spertus, J., and Kamga, C., (2014) Costs and Benefits of Pneumatic Collection in Three Specific New York City Cases Waste Management, International Journal of Integrated Waste Management, Science and Technology, DOI:10.1016/j.wasman.2014.06.008. |
Yazici, M.A., Kamga, C., Ozbay, K., (2014) Highway versus Urban Roads: Analysis of Travel Time and Variability Based on Facility Type; Transportation Research Record, No.2442, Transportation Research Board of the National Academies, Washington, D.C, pp.53–61. |
Morgul F. E., Yang*, H., Kurkcu*, A., Ozbay, K., Kamga, C., (2014) Virtual Sensors: A Web-based Real-Time Data Collection Methodology for Transportation Operation Performance Analysis. Transportation Research Record, No. 2442, Transportation Research Board of the National Academies, Washington, D.C, pp. 106–116. DOI: 10.3141/2442-12 |
Spertus, J., Miller, B., Kamga, C., Douglass, L., and Ross, B., (2014) Tubes vs. Trucks: A Comparative Analysis of the Impacts of Alternative Waste-Collection Methods with Specific Reference to Roosevelt Island in New York City, Métropolis | Flux 2014/1 - N° 95 pp. 6-17. |
Kamga, C., Yazıcı, M.A., and Singhal, A., (2013) Implementation of interactive transit information kiosks at New York City transit facilities: Analysis of user utilization and lessons learned. Transportation Research Part C, Volume 35, pp. 218–231. |
Ameen, N., and Kamga, C., (2013) Forecast of Airport Ground Access Mode Choice with the Incremental Logit Model: Case Study of the AirTrain at John F. Kennedy International Airport, Transportation Research Record: Journal of the Transportation Research Board, No. 2336, Transportation Research Board of the National Academies, Washington, D.C, pp. 97–104. |
Zhan, X., Hasan, S., Ukkusuri, S.V., and Kamga, C., (2013) Urban link travel time estimation using large-scale taxi data with partial information, Transportation Research Part C: Emerging Technologies, Volume 33, pp. 37–49. |
Yazici, M.A., Levinson, H.S., Ilicali, M., Camkesen, N., Kamga, C., (2013) A Bus Rapid Transit Line Case Study: Istanbul’s Metrobüs System, Journal of Public Transportation, Volume 16 Issue 1, pp.153-177. |
Cohen, J., Kamga, C., (2013) Financing high speed rail in the United States and France: The evolution of public-private partnerships, Research in Transportation Business & Management, Volume 6, pp. 62–70. |
Yazici*, M.A., Kamga, C., and Mouskos, K.M. (2012) Analysis of Travel Time Reliability in New York City Based on Day-of-Week Time-of-Day Periods. Transportation Research Record: Journal of the Transportation Research Board, No. 2308, Transportation Research Board of the National Academies, Washington, D.C. pp. 83–95. |
Kamga, C., Conway, A.J., Singhal, A., Yazici, M.A., (2012) Using Advanced Technologies to Manage Airport Taxicab Operations, Journal of Urban Technology, Volume 19, Issue 4, pp. 23-43. |
Conway, A.J., Kamga, C., Yazici, M.A., Singhal, A., (2012) Challenges in Managing Centralized Taxi Dispatching at High-Volume Airports: Case Study of John F. Kennedy International Airport, New York City Transportation Research Record: Journal of the Transportation Research Board, No. 2300, Transportation Research Board of the National Academies, Washington, D.C., pp. 83–90. |
Kamga, C., Mouskos, K.C., and Paaswell, R.E. (2011) “A methodology to estimate travel time using dynamic traffic assignment (DTA) under incident conditions”. Transportation Research Part C: Emerging Technologies. V19, Issue 6, pp. 1215-1224. |
Sisiopiku, V.P., Li, X., Mouskos, K.C., Kamga, C., Barrett, C., and Abro, A.M. (2007) “Dynamic Traffic Assignment Modeling for Incident Management”, Transportation Research Record No. 1994, pp. 110-116, Transportation Research Board, Washington, D.C. |
McKnight, C.E, Levinson, H.S., Ozbay, K., Kamga, C., and Paaswell, R.E., (2004) “Impact of Traffic Congestion on Bus Travel Time in Northern New Jersey”, Transportation Research Record No. 1884, pp. 27-35, Transportation Research Board, Washington, D.C. DOI: 10.3141/1884-04
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