This research focuses on addressing critical driving safety issues on university campuses, particularly vehicular congestion, inadequate parking, and hazards arising from the interaction between vehicles and pedestrians. These challenges are common across campuses and demand effective solutions to ensure safe and efficient mobility. To address these issues, the study developed detailed microsimulation models tailored to the Victor Levi Sasso campus of the Technological University of Panama. The primary function of these models is to evaluate the effectiveness of various safety interventions, such as speed reducers and parking reorganization, by simulating their impact on traffic flow and accident risk. The models provide calculations of traffic parameters, including speed and travel time, under different safety scenarios, allowing for a comprehensive assessment of potential improvements. The results demonstrate that the proposed measures significantly enhance safety and traffic efficiency, proving the model’s effectiveness in optimizing campus mobility. Although the model is designed to tackle specific safety concerns, it also offers broader applicability for addressing general driving safety issues on university campuses. This versatility makes it a valuable tool for campus planners and administrators seeking to create safer and more efficient traffic environments. Future research could expand the model’s application to include a wider range of safety concerns, further enhancing its utility in promoting safer campus mobility.

Abduljabbar, R. L., Liyanage, S., & Dia, H. (2021). The role of micro-mobility in shaping sustainable cities: A systematic literature review. Transportation Research Part D: Transport and Environment, 92, 102734. https://doi.org/10.1016/j.trd.2021.102734

Agarwal, A., Ziemke, D., & Nagel, K. (2020). Bicycle superhighway: An environmentally sustainable policy for urban transport. Transportation Research Part A: Policy and Practice, 137, 519–540. https://doi.org/10.1016/j.tra.2019.06.015

Agerholm, N., Sørensen, L. H., Rosenbeck Gøeg, P., et al. (2020). A large-scale study on the speed-calming effect of speed humps. Transactions on Transport Sciences, 11(2), 28–38. https://doi.org/10.5507/tots.2020.006

Arellana, J., Alvarez, V., Oviedo, D., et al. (2021). Walk this way: Pedestrian accessibility and equity in Barranquilla and Soledad, Colombia. Research in Transportation Economics, 86, 101024. https://doi.org/10.1016/j.retrec.2020.101024

Arliansyah, J., Prasetyo, M. R., & Kurnia, A. Y. (2017). Planning of City Transportation Infrastructure Based on Macro Simulation Model. International Journal on Advanced Science, Engineering and Information Technology, 7(4), 1262. https://doi.org/10.18517/ijaseit.7.4.2444

Asaithambi, G., Kanagaraj, V., Srinivasan, K. K., et al. (2016). Study of traffic flow characteristics using different vehicle-following models under mixed traffic conditions. Transportation Letters, 10(2), 92–103. https://doi.org/10.1080/19427867.2016.1190887

Baptista Neto, O., & Barbosa, H. M. (2016). Impacts of traffic calming interventions on urban vitality. Proceedings of the Institution of Civil Engineers - Urban Design and Planning, 169(2), 78–90. https://doi.org/10.1680/jurdp.15.00007

Bowman, C. N., & Miller, J. A. (2016). Modeling traffic flow using simulation and Big Data analytics. In: Proceedings of the 2016 Winter Simulation Conference (WSC), 19, 1206–1217. https://doi.org/10.1109/wsc.2016.7822177

Buberger, J., Kersten, A., Kuder, M., et al. (2022). Total CO2-equivalent life-cycle emissions from commercially available passenger cars. Renewable and Sustainable Energy Reviews, 159, 112158. https://doi.org/10.1016/j.rser.2022.112158

Bustillos, B. I., Shelton, J., & Chiu, Y.-C. (2011). Urban university campus transportation and parking planning through a dynamic traffic simulation and assignment approach. Transportation Planning and Technology, 34(2), 177–197. https://doi.org/10.1080/03081060.2011.554670

Ceder, A. (Avi). (2020). Urban mobility and public transport: future perspectives and review. International Journal of Urban Sciences, 25(4), 455–479. https://doi.org/10.1080/12265934.2020.1799846

Chalfen, M., & Kamińska, J. A. (2018). Identification of parameters and verification of an urban traffic flow model. A case study in Wrocław. ITM Web of Conferences, 23, 00005. https://doi.org/10.1051/itmconf/20182300005

Chavez, C. V., Ruiz, E., Rodriguez, A. G., et al. (2019). Towards Improving Safety in Urban Mobility Using Crowdsourcing Incident Data Collection. In: Proceedings of the 2019 IEEE International Smart Cities Conference (ISC2). https://doi.org/10.1109/isc246665.2019.9071714

Coutts, C., Wenger, R., & Duncan, M. (2019). Exploratory Analysis of Revealed Pedestrian Paths as Cues for Designing Pedestrian Infrastructure. Journal of Urban Planning and Development, 145(4). https://doi.org/10.1061/(ASCE)UP.1943-5444.0000539

De Pauw, E., Daniels, S., Thierie, M., et al. (2014). Safety effects of reducing the speed limit from 90km/h to 70km/h. Accident Analysis & Prevention, 62, 426–431. https://doi.org/10.1016/j.aap.2013.05.003

dell’Olio, L., Cordera, R., Ibeas, A., et al. (2019). A methodology based on parking policy to promote sustainable mobility in college campuses. Transport Policy, 80, 148–156. https://doi.org/10.1016/j.tranpol.2018.03.012

Dober, R. P. (1996). Campus Planning. Society for College and University Planning.

Dorokhin, S., Artemov, A., Likhachev, D., et al. (2020). Traffic simulation: an analytical review. IOP Conference Series: Materials Science and Engineering, 918(1), 012058. https://doi.org/10.1088/1757-899x/918/1/012058

Edilberto Rincón Romero, M., Muñoz Herrera, W., & Leal Guancha, R. (2003). Towards a Smart University Campus. Case Study: Application for Mobility within the Meléndez Campus of the Universidad del Valle (Spanish). Revista EIA, 20(39).

Fernandes, P., Sousa, C., Macedo, J., et al. (2019). How to evaluate the extent of mobility strategies in a university campus: An integrated analysis of impacts. International Journal of Sustainable Transportation, 14(2), 120–136. https://doi.org/10.1080/15568318.2018.1531183

Fujdiak, R., Masek, P., Mlynek, P., et al. (2016). Advanced optimization method for improving the urban traffic management. In: Proceedings of the 2016 18th Conference of Open Innovations Association and Seminar on Information Security and Protection of Information Technology (FRUCT-ISPIT). https://doi.org/10.1109/fruct-ispit.2016.7561507

Galatioto, F., Giuffrè, T., Bell, M., et al. (2012). Traffic Microsimulation Model to Predict Variability of Red-Light Running Influenced by Traffic Light Operations in Urban Area. Procedia - Social and Behavioral Sciences, 53, 871–879. https://doi.org/10.1016/j.sbspro.2012.09.936

Gao, S., & Zhang, H. (2020). Urban planning for low-carbon sustainable development. Sustainable Computing: Informatics and Systems, 28, 100398. https://doi.org/10.1016/j.suscom.2020.100398

Ghazal, B., ElKhatib, K., Chahine, K., et al. (2016). Smart traffic light control system. In: Proceedings of the 2016 Third International Conference on Electrical, Electronics, Computer Engineering and Their Applications (EECEA). https://doi.org/10.1109/eecea.2016.7470780

Grigoropoulos, G., Hosseini, S. A., Keler, A., et al. (2021). Traffic Simulation Analysis of Bicycle Highways in Urban Areas. Sustainability, 13(3), 1016. https://doi.org/10.3390/su13031016

Hamad, K. (2020). Using traffic simulation to quantify performance improvement due to vehicular traffic reduction at a university campus. International Journal of Simulation and Process Modelling, 15(3), 295. https://doi.org/10.1504/ijspm.2020.107331

Holden, E., Gilpin, G., & Banister, D. (2019). Sustainable Mobility at Thirty. Sustainability, 11(7), 1965. https://doi.org/10.3390/su11071965

Huang, S., Guo, L., Yang, Y., et al. (2012). Dynamic demand estimation and microscopic traffic simulation of a university campus transportation network. Transportation Planning and Technology, 35(4), 449–467. https://doi.org/10.1080/03081060.2012.680818

Imai, Y., Fujii, H., Okano, K., et al. (2024). Development of Dynamic Micro- and Macroscopic Hybrid Model for Efficient Highway Traffic Simulation. International Journal of Intelligent Transportation Systems Research, 22(1), 159–170. https://doi.org/10.1007/s13177-024-00386-4

Jabbari, M., Fonseca, F., & Ramos, R. (2021). Accessibility and Connectivity Criteria for Assessing Walkability: An Application in Qazvin, Iran. Sustainability, 13(7), 3648. https://doi.org/10.3390/su13073648

Kaplan, D. H. (2015). Transportation sustainability on a university campus. International Journal of Sustainability in Higher Education, 16(2), 173–186. https://doi.org/10.1108/ijshe-03-2013-0023

Kessels, F. (2019). Traffic Flow Modelling. In: EURO Advanced Tutorials on Operational Research. Springer International Publishing. https://doi.org/10.1007/978-3-319-78695-7

Koszowski, C., Gerike, R., Hubrich, S., et al. (2019). Active Mobility: Bringing Together Transport Planning, Urban Planning, and Public Health. In: Lecture Notes in Mobility. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-99756-8_11

Koszowski, C., Gerike, R., Hubrich, S., et al. (2019). Active Mobility: Bringing Together Transport Planning, Urban Planning, and Public Health. In: Lecture Notes in Mobility. Springer Science and Business Media Deutschland GmbH. pp. 149–171. https://doi.org/10.1007/978-3-319-99756-8_11

Krause, J., Thiel, C., Tsokolis, D., et al. (2020). EU road vehicle energy consumption and CO2 emissions by 2050 – Expert-based scenarios. Energy Policy, 138, 111224. https://doi.org/10.1016/j.enpol.2019.111224

Li, L., Persaud, B., & Shalaby, A. (2017). Using micro-simulation to investigate the safety impacts of transit design alternatives at signalized intersections. Accident Analysis & Prevention, 100, 123–132. https://doi.org/10.1016/j.aap.2016.12.019

Lin, X., Wells, P., & Sovacool, B. K. (2018). The death of a transport regime? The future of electric bicycles and transportation pathways for sustainable mobility in China. Technological Forecasting and Social Change, 132, 255–267. https://doi.org/10.1016/j.techfore.2018.02.008

Lyons, G. (2018). Getting smart about urban mobility – Aligning the paradigms of smart and sustainable. Transportation Research Part A: Policy and Practice, 115, 4–14. https://doi.org/10.1016/j.tra.2016.12.001

Mattia, G., Guglielmetti Mugion, R., & Principato, L. (2019). Shared mobility as a driver for sustainable consumptions: The intention to re-use free-floating car sharing. Journal of Cleaner Production, 237, 117404. https://doi.org/10.1016/j.jclepro.2019.06.235

Menini, S. E., Silva, T. O. da, Pitanga, H. N., & Santos, A. de P. dos. (2021). Method for Using Nonmotorized Modes of Transportation as a Sustainable Urban Mobility Index in University Campuses. Journal of Transportation Engineering, Part A: Systems, 147(2). https://doi.org/10.1061/jtepbs.0000483

Mirheli, A., & Hajibabai, L. (2020). Utilization Management and Pricing of Parking Facilities Under Uncertain Demand and User Decisions. IEEE Transactions on Intelligent Transportation Systems, 21(5), 2167–2179. https://doi.org/10.1109/tits.2019.2916337

Miskolczi, M., Földes, D., Munkácsy, A., et al. (2021). Urban mobility scenarios until the 2030s. Sustainable Cities and Society, 72, 103029. https://doi.org/10.1016/j.scs.2021.103029

Mugion, R. G., Toni, M., Raharjo, H., et al. (2018). Does the service quality of urban public transport enhance sustainable mobility? Journal of Cleaner Production, 174, 1566–1587. https://doi.org/10.1016/j.jclepro.2017.11.052

Nesoff, E. D., Milam, A. J., Pollack, K. M., et al. (2018). Novel Methods for Environmental Assessment of Pedestrian Injury: Creation and Validation of the Inventory for Pedestrian Safety Infrastructure. Journal of Urban Health, 95(2), 208–221. https://doi.org/10.1007/s11524-017-0226-2

Ortiz Sánchez, I., Fernández Salas, J. C., & Devoto Ykeho, A. (2020). Law and Urban Planning. Current problems in the planning of Metropolitan Lima (Spanish). IUS ET VERITAS, 61, 246–262. https://doi.org/10.18800/iusetveritas.202002.015

Parmar, J., Das, P., & Dave, S. M. (2020). Study on demand and characteristics of parking system in urban areas: A review. Journal of Traffic and Transportation Engineering (English Edition), 7(1), 111–124. https://doi.org/10.1016/j.jtte.2019.09.003

Pojani, D., & Stead, D. (2015). Sustainable Urban Transport in the Developing World: Beyond Megacities. Sustainability, 7(6), 7784–7805. https://doi.org/10.3390/su7067784

Prakash, A., Ravinder, R., Vittalaiah, A., et al. (2024). VISSIM Based Traffic Flow Simulation Analysis on Road Network. E3S Web of Conferences, 529, 03009. https://doi.org/10.1051/e3sconf/202452903009

Pucher, J., & Buehler, R. (2017). Cycling towards a more sustainable transport future. Transport Reviews, 37(6), 689–694. https://doi.org/10.1080/01441647.2017.1340234

Rea, R. (2019). Journal of Andalusian Studies (Spanish). Revista de Estudios Andaluces, 37, 1–208. https://doi.org/10.12795/rea.2019.i37

Saif, M. A., Zefreh, M. M., & Torok, A. (2018). Public Transport Accessibility: A Literature Review. Periodica Polytechnica Transportation Engineering, 47(1), 36–43. https://doi.org/10.3311/pptr.12072

Schaefer, J. S., Figliozzi, M. A., & Unnikrishnan, A. (2020). Evidence from Urban Roads without Bicycle Lanes on the Impact of Bicycle Traffic on Passenger Car Travel Speeds. Transportation Research Record: Journal of the Transportation Research Board, 2674(7), 87–98. https://doi.org/10.1177/0361198120920880

Schnarre, E., Appiah-Opoku, S., Weber, J., et al. (2022). Improving mobility and infrastructural connectivity on college campus for commuting students: a case study from the US. Urban, Planning and Transport Research, 10(1), 466–482. https://doi.org/10.1080/21650020.2022.2104755

Serrone, G. D., Cantisani, G., Peluso, P., et al. (2023). Road Infrastructure Safety Management: Proactive Safety Tools to Evaluate Potential Conditions of Risk. Transportation Research Procedia, 69, 711–718. https://doi.org/10.1016/j.trpro.2023.02.227

Sgarra, V., Meta, E., Saporito, M. R., et al. (2022). Improving sustainable mobility in university campuses: the case study of Sapienza University. Transportation Research Procedia, 60, 108–115. https://doi.org/10.1016/j.trpro.2021.12.015

Shah, K. J., Pan, S.-Y., Lee, I., et al. (2021). Green transportation for sustainability: Review of current barriers, strategies, and innovative technologies. Journal of Cleaner Production, 326, 129392. https://doi.org/10.1016/j.jclepro.2021.129392

Spadaro, I., & Pirlone, F. (2021). Sustainable Urban Mobility Plan and Health Security. Sustainability, 13(8), 4403. https://doi.org/10.3390/su13084403

Sultan, B., Katar, I. M., & Al-Atroush, M. E. (2021). Towards sustainable pedestrian mobility in Riyadh city, Saudi Arabia: A case study. Sustainable Cities and Society, 69, 102831. https://doi.org/10.1016/j.scs.2021.102831

Sultana, S., Salon, D., & Kuby, M. (2017). Transportation sustainability in the urban context: a comprehensive review. Urban Geography, 40(3), 279–308. https://doi.org/10.1080/02723638.2017.1395635

Suthanaya, P. A., & Upadiana, N. (2019). Traffic management of Udayana University Sudirman campus intersection using Vissim software. MATEC Web of Conferences, 276, 03006. https://doi.org/10.1051/matecconf/201927603006

Thonhofer, E., Palau, T., Kuhn, A., et al. (2018). Macroscopic traffic model for large scale urban traffic network design. Simulation Modelling Practice and Theory, 80, 32–49. https://doi.org/10.1016/j.simpat.2017.09.007

Tirachini, A., Chaniotakis, E., Abouelela, M., et al. (2020). The sustainability of shared mobility: Can a platform for shared rides reduce motorized traffic in cities? Transportation Research Part C: Emerging Technologies, 117, 102707. https://doi.org/10.1016/j.trc.2020.102707

Towoju, O. A., & Ishola, F. A. (2020). A case for the internal combustion engine powered vehicle. Energy Reports, 6, 315–321. https://doi.org/10.1016/j.egyr.2019.11.082

Turner, P. V. (1984). Campus Planning. Science, 225(4664), 786–786. https://doi.org/10.1126/science.225.4664.786.b

Ullah, A., Hussain, S., Wasim, A., & Jahanzaib, M. (2016). Usage and impacts of speed humps on vehicles: A review. Journal of Advanced Review on Scientific Research, 28(1), 1-17.

Wen, L., & Bai, L. (2016). System Dynamics Modeling and Policy Simulation for Urban Traffic: a Case Study in Beijing. Environmental Modeling & Assessment, 22(4), 363–378. https://doi.org/10.1007/s10666-016-9539-x

Xue, Y., Zhang, Y., Fan, D., et al. (2019). An extended macroscopic model for traffic flow on curved road and its numerical simulation. Nonlinear Dynamics, 95(4), 3295–3307. https://doi.org/10.1007/s11071-018-04756-y

Yan, X., Levine, J., & Marans, R. (2019). The effectiveness of parking policies to reduce parking demand pressure and car use. Transport Policy, 73, 41–50. https://doi.org/10.1016/j.tranpol.2018.10.009

Zambare, P., & Liu, Y. (2024). A Survey of Pedestrian to Infrastructure Communication System for Pedestrian Safety: System Components and Design Challenges. In: Internet of Things. Advances in Information and Communication Technology. Springer, Cham. pp. 14–35. https://doi.org/10.1007/978-3-031-45882-8_2

Zhang, Y., Mamun, S. A., Ivan, J. N., et al. (2015). Safety effects of exclusive and concurrent signal phasing for pedestrian crossing. Accident Analysis & Prevention, 83, 26–36. https://doi.org/10.1016/j.aap.2015.06.010

Ziemska-Osuch, M., & Osuch, D. (2022). Modeling the Assessment of Intersections with Traffic Lights and the Significance Level of the Number of Pedestrians in Microsimulation Models Based on the PTV Vissim Tool. Sustainability, 14(14), 8945. https://doi.org/10.3390/su14148945