The DOI matches its Crossref record; 94 of the 96 references it cites were found in a registry or an index.
Automated driving and autonomous functions on road vehicles
Open accessAbstract
In recent years, road vehicle automation has become an important and popular topic for research and development in both academic and industrial spheres. New developments have received extensive coverage in the popular press, and it may be said that the topic has captured the public imagination. Indeed, the topic has generated interest across a wide range of academic, industry and governmental communities, well beyond vehicle engineering; these include computer science, transportation, urban planning, legal, social science and psychology. While this follows a similar surge of interest – and subsequent hiatus – of Automated Highway Systems in the 1990s, the current level of interest is substantially greater, and current expectations are high. It is common to frame the new technologies under the banner of ‘self-driving cars’ – robotic systems potentially taking over the entire role of the human driver, a capability that does not fully exist at present. However, this single vision leads one to ignore the existing range of automated systems that are both feasible and useful. Recent developments are underpinned by substantial and long-term trends in ‘computerisation’ of the automobile, with developments in sensors, actuators and control technologies to spur the new developments in both industry and academia. In this paper, we review the evolution of the intelligent vehicle and the supporting technologies with a focus on the progress and key challenges for vehicle system dynamics. A…
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“it seems highly likely that autonomous vehicles will eventually prove much safer on both sealed rural roads and city streets than vehicles driven by human beings”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as Gordon and Lidberg, 2015
In the citing paper
“Driverless vehicles in communication with each other will be able to safely reduce the distance between vehicles because all members of the resulting 'convoy' will be able to brake or accelerate simultaneously as required (Shladover et al., 2012; Fagnant and Kockelman, 2015a, p. 170; Gordon and Lidberg, 2015, p. 970).”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as Gordon and Lidberg, 2015
Citations
Cites
Rajamani, R. (2011) · Mechanical engineering series · doi:10.1007/978-1-4614-1433-9 · Cited by 4,503
OpenStreetMap: User-Generated Street Maps
Haklay, M., & Weber, P. (2008) · IEEE Pervasive Computing · doi:10.1109/mprv.2008.80 · Cited by 3,208
Stanley: The robot that won the DARPA Grand Challenge
Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., Diebel, J., Fong, P., Gale, J., Halpenny, M., Hoffmann, G., et al. (2006) · Journal of Field Robotics · doi:10.1002/rob.20147 · Cited by 2,237
Predictive Active Steering Control for Autonomous Vehicle Systems
Falcone, P., Borrelli, F., Asgari, J., Tseng, H. E., & Hrovat, D. (2007) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2007.894653 · Cited by 1,415
A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?
Michon, J. A. (1985) · Springer eBooks · doi:10.1007/978-1-4613-2173-6_19 · Cited by 1,285
Cooperative Adaptive Cruise Control in Real Traffic Situations
Milanés, V., Shladover, S. E., Spring, J., Nowakowski, C., Kawazoe, H., & Nakamura, M. (2013) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2013.2278494 · Cited by 1,133
(2006) · Mechanical Engineering Series · doi:10.1007/0-387-28823-6 · Cited by 1,129
Automated vehicle control developments in the PATH program
Shladover, S. E., Desoer, C., Hedrick, J. K., Tomizuka, M., Walrand, J. C., Zhang, W., McMahon, D. H., Peng, H., Sheikholeslam, S., & McKeown, N. (1991) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.69979 · Cited by 787
Kiencke, U., & Nielsen, L. (2005) · Springer eBooks · doi:10.1007/b137654 · Cited by 778
Buehler, M., Iagnemma, K. D., & Singh, S. (2009) · Springer tracts in advanced robotics · doi:10.1007/978-3-642-03991-1 · Cited by 758
Research works printed but not linked: 15
- Vollrath M, 2011, Accident Anal Prev, 43, 00
- Rakha H, 2001, ITS Journal, 6, 225
- Ackermann J, Bunte T, Odenthal D, Advantages of active steering for vehicle dynamics control. The 32nd International Symposium on Automotive Technology and Automation, Vienna; 1999. p. 263–270.
- Chai Y, Kimura T, Igarashi K, Contribution for vehicle dynamics with a steering system which controls tire angles and steering force independently. In: 12th International Symposium on Advanced Vehicle Control (AVEC'14), September 22–26; 2014.
- Tomari T, Mori A, Shibahata Y, Development of SH-AWD based on DYC (direct yaw control) concept: In: The 8th International Symposium on Advanced Vehicle Control (AVEC'06); 2006. p. 611–616.
- Katzourakis D, Olsson C, Nedad L, Lidberg M, Driver steering override strategies for steering based active safety systems. In: FAST-zero 13, Second International Symposium on Future Active Safety Technology Toward Zero traffic accidents. Nagoya, Japan; 2013.
- Tagesson K, 2014, Truck steering system, driver interaction: dissertation for licentiate
- Graefe G, Caspary W, Heister H, Klemm J, Sever M, The road data acquisition system MoSES–determination and accuracy of trajectory data gained with the Applanix POS/LV. In: Proceedings, The Third International Mobile Mapping Symposium, Cairo, Egypt, January; 2001. p. 3–5.
- Krygier J, 2011, Making maps, second edition: a visual guide to map design for GIS
- Distner M, Bengtsson M, Broberg T, Jakobsson L, City safety system addressing rear-end collisions at low speeds. In: Proceedings of the 21st International Technical Conference on the Enhanced Safety of Vehicles, Stuttgart, 09-0371; 2009.
- Status Report. Vol. 48, No. 3, April 25, 2013, More good news about crash avoidance: Volvo City Safety reduces crashes, Insurance Institute for Highway Safety, Arlington.
- Xu Y, 2014, Math Probl Eng, 2014
- Reghelin R, 2014, Adv Transp Stud
- Chan E, SARTRE Automated Platooning Vehicles. In: Transport Research Arena (TRA) 5th Conference: Transport Solutions from Research to Deployment; 2014.
- Yang D, 2013, Vehicle dynamics control after impacts in multiple-event accidents: doctoral dissertation
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Lavanya, G., Priya, M. D., Malar, A. C. J., Sangeetha, T., & Saravanan, A. (2020) · Lecture notes in intelligent transportation and infrastructure · doi:10.1007/978-3-030-37629-1_61
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Hisham, F. F. M. (2020) · Queensland University of Technology · doi:10.5204/thesis.eprints.135968
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The Effect of Active Wheel Load Transfer on Formula Student Cars
Yao, Q., Zhang, X., Guo, K., Wang, L., & Feng, Q. (2024) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-66968-2_72
Post-impact motion control of road vehicles
Yang, D., Gordon, T. J., & Sander, U. (2025) · Vehicle System Dynamics · doi:10.1080/00423114.2025.2507772
Self-citationZhou, G., Du, Z., Liu, G., Wen, L., & Li, Q. (2025) · Journal of Computational Methods in Sciences and Engineering · doi:10.1177/14727978251361385
Securing the Lane: Defences Against Patch Attacks on Autonomous Vehicle's Lane Detection
Blazevic, R., Toch, A., Veledar, O., & Macher, G. (2025) · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) · doi:10.1109/eurospw67616.2025.00039
Lane Keeping Assist Via Combined Proximal Policy Optimization And Enet-Based Lane Detection
Humaira, S. A., Billa, A. S., Adiwilaga, A., Pradeka, D., Munawir, Saputra, R. P., & Dewi, D. K. (2025) · International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) · doi:10.1109/icramet67419.2025.11350129
Global case studies and practical insights
Chawla, P., Mahajan, S., & Anand, R. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-38359-5.00002-1
Bouchiad, O., Hajjami, L. E., Nouaçry, A., & Klilou, A. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-18857-1_3
Liu, D., Son, S., & Cao, J. (2026) · Transportation · doi:10.1007/s11116-026-10770-6
Safety-Critical Systems in Autonomous Vehicles: Ensuring Reliability through Redundant Architectures
Thomas, S. S., Kaur, J., Kaur, P., Tiwari, D. N., Yadav, V. K., & Agnihotri, D. (2026) · International Conference on Intelligent Technologies (CONIT) · doi:10.1109/conit69683.2026.11620643
Maddan, M., Sankkarshana, N., M.Gayathri, Rahul, S. G., & Amirthalakshmi, T. M. (2026) · Frontiers in Future Transportation · doi:10.3389/ffutr.2026.1889785
Wang, H., Mu, C., Liu, Y., & Abbasi, A. N. (2026) · Measurement · doi:10.1016/j.measurement.2026.123220
Driver Responses to Mismatches Between Expected and Experienced Automated Vehicle Driving Styles
Lee, M., & Pitts, B. J. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2739750
Metadata
- Authors
- Gordon, T. J., & Lidberg, M.
- Affiliations
- University of Lincoln (GB)
- Chalmers University of Technology (SE)
- Corresponding author
- Gordon, T.J.
- ORCID
- Lidberg, M.
- Venue
- Vehicle System Dynamics
- Publisher
- Informa UK Limited
- Published
- 2015-06
- Volume
- 53
- Issue
- 7
- Pages
- 958-994
- ISSN
- 0042-3114 (ISSN-L)
- 1744-5159
- OpenAlex
- W1511233954
- Cited by
- 120
- References
- 96
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 19 · 2023: 8 · 2022: 10 · 2021: 7 · 2020: 15 · 2019: 9 · 2018: 11 · 2017: 12 · 2016: 8 · 2015: 2
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- Vehicle System Dynamics (publishedVersion)
- Lincoln Repository (University of Lincoln) (acceptedVersion)
- Figshare (submittedVersion, cc-by)
- Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Vehicle Dynamics and Control Systems
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Keywords
- autonomous driving, autonomous vehicles, intelligent vehicles, automotive sensors, vehicle control, redundant actuators
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