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Rodrigo Mesa-Arango

Assistant Professor | Mechanical and Civil Engineering

| Digital Engineering for Supply Chain Systems

Contact Information

rmesaarango@fit.edu
(321) 674-8407
F.W. Olin Engineering Complex, 202

Personal Overview

Rodrigo Mesa-Arango is an Assistant Professor of Civil Engineering at the Florida Institute of Technology. He received his Ph.D. degree from Purdue University in Transportation Engineering and Infrastructure Systems. His research priorities are digital engineering for supply chain systems, extended reality for smart cities, decision theory, demand estimation, and entrepreneurial engineering. Rodrigo teaches courses on Transportation Engineering, Transportation Planning, Data Analysis, Engineering Economics, and Game Theory.

Educational Background

  • DOCTOR OF PHILOSOPHY (PHD), 2015. Purdue University, West Lafayette IN. Transportation Engineering and Infrastructure Systems, Civil Engineering.
  • MASTER OF ENGINEERING (ME), 2009. Universidad Nacional de Colombia, Medellín, Colombia. Transportation and Infrastructure Systems, Civil Engineering.
  • BACHELOR OF SCIENCE (BS), 2006. Universidad Nacional de Colombia, Medellín, Colombia. Civil Engineering.

Current Courses

  • CVE 4060 - Transportation Engineering.
  • CVE 4000 - Engineering Economy and Planning.
  • CVE 5062 - Statistical and Econometric Methods for Transportation Data Analysis.
  • CVE 5064 - Transportation Planning.
  • ENM 5430 - Strategic Analysis with Game Theory.
  • MGT 5069 - Advanced Techniques in Supply Chain Management.

Selected Publications

DISSERTATION AND THESIS

  1. PhD Dissertation: Algorithms for Bundling and Pricing Trucking Services: Deterministic and Stochastic Approaches. Purdue University, May 2015.
  2. Master’s Thesis: A discrete-continuous model for shipment size and truck type in Colombian roads. Universidad Nacional de Colombia (Medellin), May 2009.

PEER-REVIEWED JOURNAL PUBLICATIONS

  1. Fabregas, A.D., Crawford, P., Mesa-Arango, R., Calatayud, A. "Parametric Evaluation of Internet of Things Applications to Freight Transportation Using Model-Based Systems Engineering." Transportation Research Record: Journal of the Transportation Research Board. Available online https://journals.sagepub.com/doi/10.1177/03611981211049134, 2022.
  2. Mesa-Arango, R., Pineda-Jaramillo, J., Barrera-Jimenez, H., & Mesa-Arango, R. Unveiling the Relevance of Traffic Enforcement Cameras on the Severity of Vehicle-Pedestrian Collisions in an Urban Environment with Machine Learning Models. Journal of Safety Research. Accepted for Publication (2021). https://doi-org.portal.lib.fit.edu/10.1016/j.jsr.2022.02.014 
  3. Valencia-Alaix, V.G., Pineda-Mendez, and R.A., Eissa, T. “Influence of Socioeconomic Conditions in Crash Injury Severity for an Urban Area in a Developing Country.” Transportation Research Record: Journal of the Transportation Research Board. Available online https://doi.org/10.1177/0361198118758684, 2018.
  4. Mesa-Arango, R., Narayanan, B., and Ukkusuri, S. V. “The Impact of International Crises on Maritime Transportation Based Global Value Chains.” Networks and Spatial Economics. Available online https://doi.org/10.1007/s11067-017-9377-7, 2017.
  5. Mesa-Arango, R., and Ukkusuri, S. V. “Minimum Cost Flow Problem Formulation for the Static Vehicle Allocation Problem with Stochastic Lane Demand in Truckload Strategic Planning.” Transportmetrica A: Transport Science. Vol. 13, No. 10, 2017, pp. 893-914.
  6. Mesa-Arango, R., and Kumar, I. Hierarchical Value Chains Encompassing Freight Transportation and Logistics Sectors in the United States: Network Analysis Approach. Transportation Research Record: Journal of the Transportation Research Board - Freight Systems. Vol. 2609, 2017, pp 1-10.
  7. Mesa-Arango, R., and Ukkusuri, S. V. Pricing and Demand Segmentation of Bids in Less-Than-Truckload Combinatorial Auctions. Transportation Research Record: Journal of the Transportation Research Board - Network Modeling, Vol. 2567, 2016, pp. 28-37. 
  8. Ukkusuri, S. V., Mesa-Arango, R., Narayanan, B., A. M. Sadri, Qian, X. “Evolution of the Commonwealth Trade Network: Hubs, Criticality and Global Value Chains.” International Trade Working Paper 2016/07, Commonwealth Secretariat, London, 2016.
  9. Mesa-Arango, R., Zhan, X., Ukkusuri, S. V., and Mitra, A. “Direct Transportation Economic Impacts of Highway Network Disruptions Using Public Data from the United States.” Journal of Transportation Safety & Security, 2016, Vol. 8, pp. 36-55.
  10. Mesa-Arango, R., and Ukkusuri, S. V. “Demand Clustering in Freight Logistics Networks”. Transportation Research Part E: Logistics and Transportation Review, Vol. 81, 2015, pp. 142-158.
  11. Mesa-Arango, R., and Ukkusuri, S. V. “Attributes Driving the Selection of Trucking Services and the Quantification of the Shipper's Willingness to Pay”. Transportation Research Part E: Logistics and Transportation Review, Vol. 71, 2014, pp. 142-158.
  12. Mesa-Arango, R., and Ukkusuri, S. V. “Benefits of In-Vehicle Consolidation in Less than Truckload Freight Transportation Operations.” Transportation Research Part E: Logistics and Transportation Review, Vol. 60, 2013, pp. 113-125.
  13. Mesa-Arango, R., Ukkusuri, S. V., and Sarmiento, I. “Network Flow Methodology for Estimating Empty Trips in Freight Transportation Models.” Transportation Research Record: Journal of the Transportation Research Board, No. 2378, 2013, pp. 110-119.
  14. Mesa-Arango, R., and Ukkusuri, S. V. “Modeling the Car-Truck Interaction in a System Optimal Dynamic Traffic Assignment Model.” Journal of Intelligent Transportation System, Vol. 18, No. 4, 2014, pp. 327-338.
  15. Hasan, S., Mesa-Arango, R., and Ukkusuri, S. V. “A Random-Parameter Hazard-Based Model to Understand Household Evacuation Timing Behavior.” Transportation Research Part C: Emerging Technologies, Vol. 27, 2013, pp. 108-116.
  16. Mesa-Arango, R., Hasan, S. Ukkusuri, S. V. and Murray-Tuite, P. “Household-Level Model for Hurricane Evacuation Destination Type Choice Using Hurricane Ivan Data.” Natural Hazards Review, Vol. 14, No. 1, 2013, pp. 11-20.
  17. Hasan, S., Mesa-Arango, R. Ukkusuri, S. V. and Murray-Tuite, P. “Transferability of Hurricane Evacuation Choice Model: Joint Model Estimation Combining Multiple Data Sources.” ASCE Journal of Transportation Engineering, Vol. 138, No. 5, 2012, pp. 548-556.

CONFERENCE PRESENTATIONS WITH FULL PEER-REVIEWED PAPERS

  1. Alomari, E., Mesa-Arango, R., Wang, J., & Xuetao Yu, Are Sports Fans Willing to Accept Post-Match Delays to Compensate for Free Parking? Factors Affecting Stadium Parking and Accessibility. Paper TRBAM-22-00086, in Transportation Research Board 101st Annual Meeting (2022).
  2. Nair, A., & Mesa-Arango, R. Whether and How Travelers Prefer to Utilize Cruises When They Re-Open After COVID-19 Closures, in Transportation Research Board 101st Annual Meeting (2022).

  3. Fabregas, A.D., Crawford, P., Mesa-Arango R., & Calatayud A. A Parametric Evaluation of IoT Applications to Freight Transportation Using Model-Based Systems Engineering, in Transportation Research Board 100th Annual Meeting (2021).

  4. Mesa-Arango, R., Hernandez, C., Wilmsmeier, G., & Calatayud, A. Truck-Service Visibility in Emerging Markets: Willingness to Pay, Reputability and Public Policy, in Transportation Research Board 100th Annual Meeting (2021).

  5. Mesa-Arango, R., Valencia-Alaix, V.G., Pineda-Mendez, R.A., Eissa, T. “Influence of Socioeconomic Conditions in Crash Injury Severity for an Urban Area in a Developing Country.” 97th Annual Meeting of the Transportation Research Board (TRB). Compendium of Papers, 2018, Paper 18-04655.

  6. Shihab, S. A. M., Wei, P., Ramirez, D. S. J., Mesa-Arango, R. & Bloebaum, C. By Schedule or On-Demand? - A Hybrid Operation Concept for Urban Air Mobility, in AIAA Aviation 2019 Forum (American Institute of Aeronautics and Astronautics (2019). doi:2514/6.2019-3522.

  7. Mesa-Arango, R. Freight Mode Choice: A Machine Learning Approach, in ASCE International Conference on Transportation & Development (2019).
  8. Jurado, D. & Mesa-Arango, R. Effect of Queues, Time Perception, and User Behavior on the Selection of Urban Aerial Ropeway Transit: Metrocable Medellin, in Transportation Research Board 98th Annual Meeting (2019).
  9. Mesa-Arango, R., Fabregas, A. “Traffic Impact of Automated Truck Platoons in Highway Exits.” Proceedingss of the Aiit International Congress on Transport Infrastructure and Systems (Tis 2017), Rome, Italy, 10-12 April 2017, pp. 811–818.
  10. Mesa-Arango, R., Kumar, I. Hierarchical Value Chains Encompassing Freight Transportation and Logistics Sectors in the United States: Network Analysis Approach. 96th Annual Meeting of the Transportation Research Board (TRB). Compendium of Papers, 2017, Paper 17-01055.
  11. Mesa-Arango, R., Valencia-Alaix, V. G., Pineda-Mendez, R. A. & Eissa, T. Modelo Econométrico de Seguridad Vial Para Medellin (Econometric Model for Traffic Safety in Medellin), in XII Congreso Colombiano de Transporte y Transito (XII Colombian Congress on Transportation and Traffic) (2018).
  12. Mesa-Arango, R., Fabregas, A. Impacts of Automated Truck Platoons on Travel Time and Reliability at Freeway Diverge Areas. 96th Annual Meeting of the Transportation Research Board (TRB). Compendium of Papers, 2017, Paper 17-06470.
  13. Mesa-Arango, R., Fabregas, A. & Fabregas, A. Traffic impact of automated truck platoons in highway exits. In Transport Infrastructure and Systems (pp. 811-818). CRC Press (2017).
  14. Mesa-Arango, R. & Kumar, I. Hierarchical Value Chains Encompassing Freight Transportation and Logistics Sectors in the United States: Network Analysis Approach, in Transportation Research Board 96th Annual Meeting (2017).
  15. Mesa-Arango, R., and Ukkusuri, S. V. “Pricing and Segmentation of Stochastic Demand in Truckload Combinatorial Bids.” 95th Annual Meeting of the Transportation Research Board (TRB). Compendium of Papers, 2016, Paper 16-2100.
  16. Mesa-Arango, R., and Ukkusuri, S. V. “Pricing and Segmentation of Stochastic Demand in Less-Than-Truckload Combinatorial Bids.” 95th Annual Meeting of the Transportation Research Board (TRB). Compendium of Papers, 2016, Paper 16-2656.
  17. Mesa-Arango, R., Narayanan, B., and Ukkusuri, S. V. “The Impact of International Crises on Maritime Transportation Based Global Value Chains.” 94th Annual Meeting of the Transportation Research Board (TRB). Compendium of Papers, 2015, Paper 15-4328.
  18. Mesa-Arango, R., and Ukkusuri, S. V. “Pricing and Demand Segmentation of Bids in Truckload Combinatorial Auctions.” 94th Annual Meeting of the Transportation Research Board (TRB). Compendium of Papers, 2015, Paper 15-4291.
  19. Mesa-Arango, R., and Ukkusuri, S. V. “Benefits of In-Vehicle Consolidation in Less than Truckload Freight Transportation Operations.” 20th International Symposium on Transportation and Traffic Theory (ISTTT20). Procedia-Social and Behavioral Sciences, Vol. 80, 2013, pp. 576-590.
  20. Mesa-Arango, R., Ukkusuri, S. V., and Sarmiento, I. “Network Flow Methodology for Estimating Empty Trips in Freight Transportation Models.” 92nd Annual Meeting of the Transportation Research Board (TRB). Compendium of Papers, 2013, Paper 13-4684.
  21. Ukkusuri, S. V., Hasan, S., Mesa-Arango, R. and Doan, K. Integrating Behavioral Models in an Agent Based Model for Hurricane Evacuation. In Proceedings of the 16th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, 2011, 14 pages.

SELECTED PRESENTATIONS

 

  1. Bi, J. & Mesa-Arango, R. Effects of Food Chain Traceability on Consumers’ Purchases, in 7th UTC Conference for the Southeastern Region on Smart and Sustainable Cities: The Future of Transportation and Logistics. Boca Raton FL (2022).
  2. Pan, A., Fabregas, A., Mesa-Arango, R. & Patel, A. Model-Based Systems Engineering Evaluation of Augmented Really Applications to Reduce Transportation Impacts of Supported Employment Training, in 7th UTC Conference for the Southeastern Region on Smart and Sustainable Cities: The Future of Transportation and Logistics. Boca Raton FL (2022).
  3. Diaz, V. & Mesa-Arango, R. Preferences Toward Augmented Reality Technologies for Pedestrian Navigation, in 7th UTC Conference for the Southeastern Region on Smart and Sustainable Cities: The Future of Transportation and Logistics. Boca Raton FL (2022).
  4. Ryan, P. & Mesa-Arango, R. Influence of Electric-Vehicle Amenities and other Advance Building Materials and Processes on Homebuyer Decisions, in 7th UTC Conference for the Southeastern Region on Smart and Sustainable Cities: The Future of Transportation and Logistics. Boca Raton FL (2022).
  5. Araújo, D.S., Mesa-Arango, R. Analysis of Key Factors on the Selection of Space Tourism Options. INCOSE Space Coast Chapter. Melbourne FL (2021).
  6. Sen, C., Brenner, J., Hamed, K., Demoret, K., Weaver, R. Weaver & Mesa-Arango, R. Entrepreneurial Minded Learning (EML) and Making, in 2020 KEEN National Conference, Houston TX (2020).
  7. Mesa-Arango, R. Freight Mode Choice: A Machine Learning Approach, in INFORMS Annual Meeting, Phoenix AZ (2018).
  8. Dai, W. & Mesa-Arango, R. Taxonomy and Abstraction of the On-demand Mobility Aviation System for Smarter Cities, in INFORMS Annual Meeting, Phoenix AZ (2018).
  9. Jurado, D. & Mesa-Arango, R. Estimating the Influence of Time Perception in Mode Choice for a Gondola Lift Transit System- Metrocable Medellín, in INFORMS Annual Meeting, Phoenix AZ (2018).
  10. Mesa-Arango, R. & Ukkusuri, S. Pricing and Segmentation of Stochastic Demand in Less Than Truckload combinatorial Bids, in INFORMS Annual Meeting, Philadelphia PA (2015).
  11. Mesa-Arango, R & Ukkusuri, S. Demand Clustering in Logistics Networks, in INFORMS Annual Meeting, Minneapolis MN (2013).
  12. Mesa-Arango, R. & Ukkusuri, S. A Behavioral Model to Understand the Qualitative Attributes in Freight Contracts, in INFORMS Annual Meeting, Minneapolis MN (2013).
  13. Mesa-Arango, R., Ukkusuri, S. & Sarmiento, I. A Network Flow Methodology to Estimate Empty Trips in Freight Transportation Models, in INFORMS Annual Meeting, Phoenix AZ (2012).
  14. Mesa-Arango, R., & Ukkusuri, S. Bidding Advisory Model for Combinatorial Auctions in Freight Transportation Incorporating LTL Schemes using Branch-and-Price, in INFORMS Annual Meeting, Phoenix AZ (2012).
  15. Mesa-Arango, R., & Ukkusuri, S. Modeling the Car-Truck Interaction in a System Optimal Dynamic Traffic Assignment Model, in INFORMS Annual Meeting, Charlotte NC (2012).
  16. Mesa-Arango, R., & Ukkusuri, S. A System of Systems Framework for Understanding Freight Transportation Networks, in INFORMS Annual Meeting, Austin TX (2010).

Recognition & Awards

  • Member of Chi-Epsilon, The civil engineering honor society. April. 2016.
  • Chi-Epsilon Chapter at Florida Tech. Faculty Advisor. 2017.
  • Civil Engineering Best Dissertation Award (Spring/Summer 2015) for Ph.D. dissertation. Purdue University. Nov. 2015.
  • Eldon J. Yoder Memorial Award. Outstanding Graduate Student in Transportation Engineering. Civil Engineering Purdue University. Sept. 2014.
  • International Road Federation (IRF). Executive Fellow. Jan. 2014.
  • Paper selected for Podium Presentation in the 20th International Symposium on Transportation and Traffic Theory (ISTTT20), Noordwijk – Netherlands. Dec. 2012.

Research

Research & Project Interests

  • Digital engineering for supply chain systems.
  • Extended reality for smart cities.
  • Decision theory.
  • Demand estimation.
  • Entrepreneurial engineering.

 

Samples.

 

Demonstration Platform for Digital Engineering, ITS, and Supply Chain Applications. This research develops a prototype application using On-board units (OBU) and Roadside units (RSU), where units can communicate using one of the communication protocols for vehicle-to-anything (V2X) applications (e.g. WAVE). The application can handle different small-scale cases, for example, posting state-of-charge (for electric vehicles) or a cargo manifest (e.g. Freight applications). The process of concept creation to validation is carried out using Model-Based Systems Engineering (MBSE) with communications between stages using any known life cycle data exchange format. Currently the Open Services for Life Cycle Collaboration (OSLC) is one of the candidates for this data exchange. The prototype application fits in the Open Source Software for Intelligent Transportation Systems (OSS4ITS) from the Federal Highway Administration (FHWA). This project exposes researchers to the state-of-the-practice ITS developments and enables digital thread and MBSE processes for new transportation applications including artificial Intelligence (AI) applications, which can potentially lead to the discovery of new avenues of research on digital engineering, ITS0V2X, and supply chain. The project leverages existing Florida Tech’s resources such as SIEMENS software suite and advanced visualization from existing sources such as the Center for Advanced Manufacturing and Innovative Design (CAMID) holographic table in this research initiative. Team: Jingchen Bi, Avinash Persaud, Rodrigo Mesa-Arango, Aldo Fabregas.

 

Model-Based Systems Engineering Evaluation of Augmented Reality Applications to Reduce Transportation Impacts of Supported Employment Training. This investigation proposes equipping persons with disabilities (PWD) with augmented reality (AR) smart glasses to assist social enterprises that provide supported employment (SE). Although AR is not proposed to fully replace the need for in-person training, it can assist coaches in certain conditions to both observe job challenges and provide feedback in real-time. AR can potentially increase the number of billable hours per coach and reduce transportation costs, there are extra costs associated with purchasing and operating AR technologies, which must be considered when assessing the feasibility of this business model. This research evaluates the conditions that make AR smart glasses feasible to assist SE operations and apply them on a county-wide case study. Team. Allan Pan, Aldo Fabregas, Rodrigo Mesa-Arango, Amar Patel. 

 

Parametric Evaluation of Internet of Things Applications to Freight Transportation Using Model-Based Systems Engineering. This work focuses on modeling the architecture of a freight-focused intelligent transportation systems (ITS) application, including maritime ports. The proposed model integrates stakeholders, behaviors, and messages using the Systems Modeling Language (SysML). The key contribution of this work is to demonstrate the creation of an executable SysML model for an ITS application without sacrificing the typical Systems Engineering Management Plan artifacts (e.g., requirements traceability matrices and interface control documents). At the same time, the proposed model provides a re-usable pattern to support parametric analysis of candidate architectures with respect to any measure of effectiveness. This allows establishing a single source of architecture definition and having multiple architecture specializations depending on the measure of effectiveness being evaluated. Team: Aldo Fabregas, Paul Crawford, Rodrigo Mesa-Arango, Agustina Calatayud.

 

Port Planning Under Deep Uncertainties. This project proposes an innovative maritime-port planning method to support decision-making while considering deep uncertainties from multiple disruptors, namely international trade, maritime logistics, industry 4.0 (I-4.0) technologies, and unprecedented worldwide disruptors, like the novel coronavirus 2019 global pandemic (COVID-19). Sponsor: Inter-American Development Bank. Funds: $77,961. Team: Rodrigo Mesa-Arango, Aldo Fabregas, Badri Narayanan, Alcides Santander, Agustina Calatayud. 

 

Impacts of Automated Truck Platoons on Travel Time and Reliability at Freeway Diverge Areas. This paper assesses the impacts on travel time and travel time reliability associated with the operation of autonomous truck platoons (ATPs) at freeway diverge areas. his paper proposes an interdisciplinary framework to integrate ATPs into a microscopic traffic simulator. A combinatorial experiment is performed to test the impact of four experimental variables on travel time and reliability, i.e., (i) traffic volume projections, (ii) ATP penetration rates, (iii) ATP sizes, and (iv) ATP gaps. Two performance metrics are employed and statistically tested to quantify the impact of these variables on (a) though- and (b) divergent traffic. Team: Rodrigo Mesa-Arango, Aldo Fabregas. 

 

 

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