Retos de la movilidad autónoma en el ámbito policial

Estudio de la Policía de Dubái

Autores/as

DOI:

https://doi.org/10.62161/sauc.v12.6392

Palabras clave:

Vehículos policiales autónomos, Smart policing, Movilidad autónoma, Inteligencia Artificial, Policía de Dubai

Resumen

Los vehículos autónomos están transformando la movilidad, lo que tiene implicaciones para la labor policial; sin embargo, se ha prestado poca atención a la preparación organizativa. Este estudio examina el grado de preparación de la Policía de Dubái para integrar vehículos policiales autónomos (APV). Mediante una encuesta realizada al personal policial y una revisión bibliográfica, evalúa el grado de concienciación, la aceptación, los beneficios percibidos y las preocupaciones. Los resultados muestran que la adopción no solo depende de la capacidad tecnológica, sino también de la coherencia entre la concienciación de la organización, los marcos de gobernanza y la capacidad institucional. El estudio contribuye a la investigación emergente sobre la movilidad autónoma al destacar el papel de los factores organizativos e institucionales a la hora de facilitar el despliegue responsable de los sistemas autónomos en contextos de seguridad pública.

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Alatawneh, A., & Torok, A. (2023). Potential autonomous vehicle ownership growth in Hungary using the Gompertz model. Production Engineering Archives, 29(2), 155–161. https://doi.org/10.30657/pea.2023.29.18

Alessandrini, A., Domenichini, L., & Branzi, V. (2021). Automation functions, philosophies, and levels. In The Role of Infrastructure for a Safe Transition to Automated Driving (pp. 7–47). Elsevier. https://doi.org/10.1016/B978-0-12-822901-9.00006-3

Ali, A. (2023). From eco-friendly bullets to zero-carbon force, Dubai Police showcase 12 pioneering green projects at COP28. Gulf News (United Arab Emirates), NA-NA.

Almaskati, D., Pamidimukkula, A., Kermanshachi, S., Rosenberger, J. M., & Foss, A. (2025). A review of first responders and autonomous vehicles. Transportation Research Procedia, 90, 903–910. https://doi.org/10.1016/j.trpro.2025.06.024

Amgothu, S., Gowda, S. P. M., & Sapavath, N. N. (2025). AI-Driven Architectures for Real-Time Decision-Making in Autonomous Vehicles. 2025 IEEE International Conference on AI and Data Analytics (ICAD), 1–8. https://doi.org/10.1109/ICAD65464.2025.11114074

Apostolakis, K. C., Dimitriou, N., Margetis, G., Ntoa, S., Tzovaras, D., & Stephanidis, C. (2022). DARLENE – Improving situational awareness of European law enforcement agents through a combination of augmented reality and artificial intelligence solutions. Open Research Europe, 1, 87. https://doi.org/10.12688/openreseurope.13715.2

Aviram, N. F., Correa, C., & Oliviera, R. (2024). Technology 3.0: Police Officers’ Perceptions Towards Technology Shifts. The American Review of Public Administration, 54(1), 90–103. https://doi.org/10.1177/02750740231186791

Azam, S., Munir, F., Sheri, A. M., Kim, J., & Jeon, M. (2020). System, Design and Experimental Validation of Autonomous Vehicle in an Unconstrained Environment. Sensors, 20(21), 5999. https://doi.org/10.3390/s20215999

Badue, C., Guidolini, R., Carneiro, R. V., Azevedo, P., Cardoso, V. B., Forechi, A., Jesus, L., Berriel, R., Paixão, T. M., Mutz, F., De Paula Veronese, L., Oliveira-Santos, T., & De Souza, A. F. (2021). Self-driving cars: A survey. Expert Systems with Applications, 165, 113816. https://doi.org/10.1016/j.eswa.2020.113816

Bag, A., Shashikant, S., Mishra, P., & Pradhan, A. (2024). Using artificial intelligence in U.S law enforcement-a review. 050002. https://doi.org/10.1063/5.0179536

Bathla, G., Bhadane, K., Singh, R. K., Kumar, R., Aluvalu, R., Krishnamurthi, R., Kumar, A., Thakur, R. N., & Basheer, S. (2022). Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities. Mobile Information Systems, 2022, 1–36. https://doi.org/10.1155/2022/7632892

Bazine, I. (2025). Exploring the Development of the Technology Acceptance Model (TAM): A Chronological Overview. International Journal of Research and Scientific Innovation, XII(VI), 1643–1655. https://doi.org/10.51244/IJRSI.2025.120600138

Beg, A., Qureshi, A. R., Sheltami, T., & Yasar, A. (2021). UAV-enabled intelligent traffic policing and emergency response handling system for the smart city. Personal and Ubiquitous Computing, 25(1), 33–50.

Canitez, F. (2021). Transition to Autonomous Vehicles: A Socio-Technical Transition Perspective. Alphanumeric Journal, 9(2), 143–162. https://doi.org/10.17093/alphanumeric.847241

Cascetta, E., Cartenì, A., & Di Francesco, L. (2022). Do autonomous vehicles drive like humans? A Turing approach and an application to SAE automation Level 2 cars. Transportation Research Part C: Emerging Technologies, 134, 103499. https://doi.org/10.1016/j.trc.2021.103499

Chancey, E. T., Politowicz, M. S., Ballard, K. M., Unverricht, J., Buck, B. K., & Geuther, S. (2025). Human-Automation Trust Development as a Function of Automation Exposure, Familiarity, and Perceived Risk: A High-Fidelity Remotely Operated Aircraft Simulation. Journal of Cognitive Engineering and Decision Making, 19(2), 200–222. https://doi.org/10.1177/15553434241296573

Chaveesuk, S., Chaiyasoonthorn, W., Kamales, N., Dacko-Pikiewicz, Z., Liszewski, W., & Khalid, B. (2023). Evaluating the Determinants of Consumer Adoption of Autonomous Vehicles in Thailand—An Extended UTAUT Model. Energies, 16(2), 855. https://doi.org/10.3390/en16020855

Cowper, T. J., & Levin, B. H. (2018). Autonomous vehicles: How will they challenge law enforcement. Law Enforcement Bulletin.

Cui, J., & Sabaliauskaite, G. (2017). On the alignment of safety and security for autonomous vehicles. IARIA CYBER, Barcelona, Spain, 545.

De La Torre, G., Rad, P., & Choo, K.-K. R. (2020). Driverless vehicle security: Challenges and future research opportunities. Future Generation Computer Systems, 108, 1092–1111. https://doi.org/10.1016/j.future.2017.12.041

Duarte, F., & Ratti, C. (2018). The Impact of Autonomous Vehicles on Cities: A Review. Journal of Urban Technology, 25(4), 3–18. https://doi.org/10.1080/10630732.2018.1493883

Elsalhy, M., Talib, M. A., Abbas, S., & Nasir, Q. (2024). Investigating the Implementation of the Artificial Bee Colony Using the ArcGIS Environment: Dubai Drone Box Platform Case Study. 2024 IEEE 12th International Conference on Intelligent Systems (IS), 1–6. https://doi.org/10.1109/IS61756.2024.10705213

Foroughi, B., Nhan, P. V., Iranmanesh, M., Ghobakhloo, M., Nilashi, M., & Yadegaridehkordi, E. (2023). Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS. Journal of Retailing and Consumer Services, 70, 103158. https://doi.org/10.1016/j.jretconser.2022.103158

Gaitanidou, E., & Bekiaris, E. (2022). Consumer Acceptance in Measuring Greece’s Readiness for Transport Automation. Future Transportation, 2(3), 644–658. https://doi.org/10.3390/futuretransp2030035

Gerber, M. A., Schroeter, R., & Ho, B. (2023). A human factors perspective on how to keep SAE Level 3 conditional automated driving safe. Transportation Research Interdisciplinary Perspectives, 22, 100959. https://doi.org/10.1016/j.trip.2023.100959

Giannaros, A., Karras, A., Theodorakopoulos, L., Karras, C., Kranias, P., Schizas, N., Kalogeratos, G., & Tsolis, D. (2023). Autonomous Vehicles: Sophisticated Attacks, Safety Issues, Challenges, Open Topics, Blockchain, and Future Directions. Journal of Cybersecurity and Privacy, 3(3), 493–543. https://doi.org/10.3390/jcp3030025

Goodison, S., Barnum, J., Vermeer, M., Woods, D., Lloyd-Dotta, T., & Jackson, B. (2020). Autonomous Road Vehicles and Law Enforcement: Identifying High-Priority Needs for Law Enforcement Interactions With Autonomous Vehicles Within the Next Five Years. RAND Corporation. https://doi.org/10.7249/RRA108-4

Grimm, V., Kretschmer, S., & Mehl, S. (2020). Green innovations: The organizational setup of pilot projects and its influence on consumer perceptions. Energy Policy, 142, 111474. https://doi.org/10.1016/j.enpol.2020.111474

Guo, Q., & Huang, W. (2024). Analyzing the Diffusion of Innovations Theory. Scientific and Social Research, 6(12), 95–98. https://doi.org/10.26689/ssr.v6i12.8947

Guo, Z., & Kennedy, L. (2023). Policing based on automatic facial recognition. Artificial Intelligence and Law, 31(2), 397–443. https://doi.org/10.1007/s10506-022-09330-x

Halford, E., Taleb Hussain, A., Keningale, P., & Condon, C. (2025). Implementing virtual reality training in policing: A case study using the technology acceptance model. International Journal of Police Science & Management, 27(3), 339–359. https://doi.org/10.1177/14613557251316088

Harari, R. E., Hulme, K., Ebnali-Heidari, A., & Mazloumi, A. (2019). How does training effect users’ attitudes and skills needed for highly automated driving? Transportation Research Part F: Traffic Psychology and Behaviour, 66, 184–195. https://doi.org/10.1016/j.trf.2019.09.001

Havlovska, N., Semenchenko, V., Yablonsky, T., Hymenna, E., & Khmelnytskyi National University. (2023). THEORETICAL BASIS OF CHANGE MANAGEMENT IN THE ORGANIZATION. Herald of Khmelnytskyi National University. Economic Sciences, 316(2), 161–166. https://doi.org/10.31891/2307-5740-2023-316-2-25

Hollywood, J. S., Woods, D., Silberglitt, R. S., & Jackson, B. A. (2015). Using future Internet technologies to strengthen criminal justice. Rand Corporation Washington, DC.

Kim, K., Kim, J. S., Jeong, S., Park, J.-H., & Kim, H. K. (2021). Cybersecurity for autonomous vehicles: Review of attacks and defense. Computers & Security, 103, 102150. https://doi.org/10.1016/j.cose.2020.102150

Kimura, M. (2023). Police and AI, the trade-off between privacy. Artificial Intelligence: Crime, War, and Justice, 67.

Kurniawan, J. H., Chng, S., & Cheah, L. (2021). The Social Acceptance of Autonomous Vehicles. IEEE Potentials, 40(4), 39–44. https://doi.org/10.1109/MPOT.2020.2991059

Mishra, A., Purohit, J., Nizam, M., & Gawre, S. K. (2023). Recent Advancement in Autonomous Vehicle and Driver Assistance Systems. 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), 1–5. https://doi.org/10.1109/SCEECS57921.2023.10063089

Muralidhar, P., Rani, C., & Rajesh Kumar, M. (2023). Accident prevention for autonomous vehicle. 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), 1–5.

Murtaza, M., Cheng, C.-T., Fard, M., & Zeleznikow, J. (2023). Preparing drivers for the future: Evaluating the effects of training on drivers’ performance in an autonomous vehicle landscape. Transportation Research Part F: Traffic Psychology and Behaviour, 98, 280–296. https://doi.org/10.1016/j.trf.2023.09.013

Murtaza, M., Cheng, C.-T., Fard, M., & Zeleznikow, J. (2024). Assessing Training Methods for Advanced Driver Assistance Systems and Autonomous Vehicle Functions: Impact on User Mental Models and Performance. Applied Sciences, 14(6), 2348. https://doi.org/10.3390/app14062348

Müür, J., & Karo, E. (2025). Learning from public sector innovation pilots: The case of autonomous bus pilots. Innovation: The European Journal of Social Science Research, 38(2), 687–710. https://doi.org/10.1080/13511610.2023.2286438

Ejiofor, O. E., Yusuf, T. K., Austin, B. A. Y., & Obu, A. U. (2025). Privacy and Data Protection: Balancing Security and User Rights. Computer Science & IT Research Journal, 6(5), 315–332. https://doi.org/10.51594/csitrj.v6i5.1933

Owano, N. (2018). Ford’s patent application puts focus on autonomous police vehicles.TechXplore. Available at: https://techxplore.com/news/2018-01-ford-patent-application-focus-autonomous.html Retrieved by April2026

Punev, A. (2020). Autonomous Vehicles: The Need for a Separate European Legal Framework. European View, 19(1), 95–102. https://doi.org/10.1177/1781685820912043

Rahman, Md. M., & Thill, J.-C. (2023). What Drives People’s Willingness to Adopt Autonomous Vehicles? A Review of Internal and External Factors. Sustainability, 15(15), 11541. https://doi.org/10.3390/su151511541

Scala, N. M., Cestra, P., & Rufa, G. (2023). Police Use of Driverless Vehicles a Preliminary Study. 6(3). http://dx.doi.org/10.47814/ijssrr.v6i3.899

Sever, T., & Contissa, G. (2024). Automated driving regulations – where are we now? Transportation Research Interdisciplinary Perspectives, 24, 101033. https://doi.org/10.1016/j.trip.2024.101033

Sheridan, T. B. (2021). HUMAN SUPERVISORY CONTROL OF AUTOMATION. In G. Salvendy & W. Karwowski (Eds.), HANDBOOK OF HUMAN FACTORS AND ERGONOMICS (1st ed., pp. 736–760). Wiley. https://doi.org/10.1002/9781119636113.ch28

Sousa, N., Almeida, A., Coutinho-Rodrigues, J., & Natividade-Jesus, E. (2018). Dawn of autonomous vehicles: Review and challenges ahead. 171(1), 3–14. DOI: 10.1680/jmuen.16.0006300063

Teti, M. J. (2023). Technology innovations in policing: A framework [Northeastern University]. https://doi.org/10.17760/D20487637

Theoto, T. N., & Kaminski, P. C. (2019). A country-specific evaluation on the feasibility of autonomous vehicles. Product Management & Development, 17(2), 123–133. https://doi.org/10.4322/pmd.2019.013

Toghi, B., Valiente, R., Sadigh, D., Pedarsani, R., & Fallah, Y. P. (2022). Social Coordination and Altruism in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems, 23(12), 24791–24804. https://doi.org/10.1109/TITS.2022.3207872

Tran, D. V., & Le, C. T. Q. (2022). Developing a Regulatory Framework for Autonomous Vehicles: A Proximal Analysis of European Approach and Its Application to ASEAN Countries. TalTech Journal of European Studies, 12(2), 165–188. https://doi.org/10.2478/bjes-2022-0016

VISHAL, K. S. A., & ADEOLUWA, B. (2024). Data privacy, security, and governance: A global comparative analysis of regulatory compliance and technological innovation. Global Journal of Engineering and Technology Advances, 21(3), 190–202. https://doi.org/10.30574/gjeta.2024.21.3.0246

Woods, J. B. (2019). Autonomous Vehicles and Police De-escalation.

World Economic Forum. (2025). Autonomous vehicles: Timeline and roadmap ahead [White Paper].https://www.weforum.org/publications/autonomous-vehicles-timeline-and-roadmap-ahead/

Yu, P. (2022). Diffusion of Innovation theory. In Implementation science (pp. 59–61). Routledge. https://doi.org/10.4324/9781003109945

Zhang, Y., Luo, P., Zhang, H., Yang, J., Tian, K., Gao, H., Hou, N., & Ding, N. (2025). A Review of Autonomous Vehicle Safety in Mixed Traffic Environments Based on Bibliometric Analysis. 2025 8th International Conference on Transportation Information and Safety (ICTIS), 748–754. https://doi.org/10.1109/ICTIS68762.2025.11214812

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2026-09-04

Cómo citar

Abdulhakim , A., Zainal, M., Al Khaja, O., & Ondiviela García, J. A. (2026). Retos de la movilidad autónoma en el ámbito policial: Estudio de la Policía de Dubái. Street Art & Urban Creativity, 12(5), 371–390. https://doi.org/10.62161/sauc.v12.6392

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Artículos de investigación