The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems
Open accessAbstract
Adaptive Cruise Control (ACC) systems are becoming increasingly available as a standard equipment in modern commercial vehicles. Their penetration rate in the fleet is constantly increasing, as well as their use, especially under freeway conditions. At the same time, limited information is openly available on how these systems actually operate and their differences depending on the vehicle manufacturer or model. This represents an important gap because as the number of ACC vehicles on the road increases, traffic dynamics on freeways may change accordingly, and new collective phenomena, which are only marginally known at present, could emerge. Yet, as ACC systems are introduced as comfort options and their operation is entirely under the responsibility of the driver, vehicle manufacturers do not have explicit requirements to fulfill nor they have to provide any evidence about their performances. As a result, any safety implication connected to their interactions with other road users escapes any monitoring and opportunity of improvement. This work presents a set of experimental car-following campaigns, providing an overview of the behavior of commercial ACC systems under different driving conditions. Furthermore, the suggestion of a unified data structure across the different tests facilitates comparison between the different campaigns, vehicles, systems and specifications. The complete data is published as an open-access database (OpenACC), available to the research community. As more test campaigns will be carried out, OpenACC will evolve accordingly. The activity is performed in the framework of the openData policy of the European Commission Joint Research Centre with the objective to engage the whole scientific community towards a better understanding of the properties of ACC vehicles in view of anticipating their possible impacts on traffic flow and prevent possible problems connected to their widespread introduction. In this light, OpenACC, over time, also aims at becoming a reference point to study if and how the parameters of such systems need to be regulated, how homogeneously they behave, how new ACC car-following models should be designed for traffic microsimulation purposes and what are the key differences between ACC systems and human drivers.
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Cites
Krajewski, R., Bock, J., Kloeker, L., & Eckstein, L. (2018) · 2018 21st International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2018.8569552 · Cited by 1,401
Cooperative Adaptive Cruise Control in Real Traffic Situations
Milanés, V., Shladover, S. E., Spring, J., Nowakowski, C., Kawazoe, H., & Nakamura, M. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2013.2278494 · Cited by 1,130
Milanés, V., & Shladover, S. E. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2014.09.001 · Cited by 1,100
"How Long Does It Take to Stop?" Methodological Analysis of Driver Perception-Brake Times
Green, M. (2000) · Transportation Human Factors · doi:10.1207/sthf0203_1 · Cited by 923
Impacts of cooperative adaptive cruise control on freeway traffic flow
Shladover, S. E., Su, D., & Lu, X.-Y. (2012) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2324-08 · Cited by 887
Adaptive Cruise Control Design for Active Congestion Avoidance
Kesting, A., Treiber, M., Schönhof, M., & Helbing, D. (2008) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2007.12.004 · Cited by 610
Punzo, V., Borzacchiello, M. T., & Ciuffo, B. (2011) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2010.12.007 · Cited by 484
Self-citationSaifuzzaman, M., & Zheng, Z. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2014.09.008 · Cited by 467
A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset
Coifman, B., & Li, L. (2017) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2017.09.018 · Cited by 414
Barmpounakis, E., & Geroliminis, N. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.11.023 · Cited by 377
Metadata
- Authors
- Makridis, M., Mattas, K., Anesiadou, A., & Ciuffo, B.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 125
- Pages
- 103047
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W3017204849
- Cited by
- 258
- References
- 35
- FWCI
- 18.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Makridis, M., Mattas, K., Anesiadou, A., & Ciuffo, B. (2021). OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2021.103047
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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