15.3.1.5.6 Adaptive Cruise Control

Chapter Contents (Back)
Cruise Control. Driver Assistance. Vehicle Following.
See also Emission Control Issues in Traffic Control.
See also Eco-Driving.
See also Overtaking Analysis, Control.

Zielke, T., Brauckmann, M., and von Seelen, W.,
Intensity and Edge-Based Symmetry Detection with an Application to Car-Following,
CVGIP(58), No. 2, September 1993, pp. 177-190.
DOI Link BibRef 9309
Earlier:
Cartrack: Computer Vision-Based Car Following,
WACV92(156-163).
IEEE DOI BibRef
Earlier:
Intensity and Edge-Based Symmetry Detection Applied to Car Following,
ECCV92(865-873).
Springer DOI BibRef

Lohner, H.[Herbert], Dominke, P.[Peter], Cao, C.T.[Chi-Thuan], Leimbach, K.D.[Klaus-Dieter], Harter, W.[Werner], Hommel, M.[Mathias],
Automatic following guidance system for motor vehicles,
US_Patent6,370,471, Apr 9, 2002
WWW Link. Variety of sensors and techniques. BibRef 0204

Hofmann, U., Rieder, A., Dickmanns, E.D.,
Radar and vision data fusion for hybrid adaptive cruise control on highways,
MVA(14), No. 1, 2003, pp. 42-49.
Springer DOI 0304
BibRef
Earlier:
Radar and Vision Data Fusion for Hybrid Cruise Control on Highways,
CVS01(125-138).
Springer DOI 0106
BibRef

Hofmann, U., Rieder, A., Dickmanns, E.D.,
EMS-Vision: Application to Hybrid Adaptive Cruise Control,
IVS00(xx). 0009
BibRef

Vahidi, A., Eskandarian, A.,
Research advances in intelligent collision avoidance and adaptive cruise control,
ITS(4), No. 3, September 2003, pp. 143-153.
IEEE Abstract. 0402
BibRef

Zhou, J., Peng, H.,
Range Policy of Adaptive Cruise Control Vehicles for Improved Flow Stability and String Stability,
ITS(6), No. 2, June 2005, pp. 229-237.
IEEE Abstract. 0506
BibRef

Naranjo, J.E., Gonzalez, C., Garcia, R., de Pedro, T., Haber, R.E.,
Power-steering control architecture for automatic driving,
ITS(6), No. 4, December 2005, pp. 406-415.
IEEE DOI 0601
BibRef

Naranjo, J.E., Gonzalez, C., Garcia, R., de Pedro, T.,
ACC+Stop&Go Maneuvers With Throttle and Brake Fuzzy Control,
ITS(7), No. 2, June 2006, pp. 213-225.
IEEE DOI 0606
BibRef

van Arem, B., van Driel, C.J.G., Visser, R.,
The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics,
ITS(7), No. 4, December 2006, pp. 429-436.
IEEE DOI 0701
BibRef

Panwai, S., Dia, H.,
Neural Agent Car-Following Models,
ITS(8), No. 1, March 2007, pp. 60-70.
IEEE DOI 0703
BibRef

Adell, E., Varhelyi, A., Alonso, M., Plaza, J.,
Developing human-machine interaction components for a driver assistance system for safe speed and safe distance,
IET-ITS(2), No. 1, 2008, pp. 1-14.
DOI Link 1204
BibRef

Shirakawa, K.,
PRISM: An In-Vehicle CPU-Oriented Novel Azimuth Estimation Technique for Electronic-Scan 76-GHz Adaptive-Cruise-Control Radar System,
ITS(9), No. 3, September 2008, pp. 451-462.
IEEE DOI 0809
BibRef

Tradisauskas, N., Juhl, J., Lahrmann, H., Jensen, C.S.,
Map matching for intelligent speed adaptation,
IET-ITS(3), No. 1, 2009, pp. 57-66.
DOI Link 1204
BibRef

Wu, Z., Liu, Y., Pan, G.,
A Smart Car Control Model for Brake Comfort Based on Car Following,
ITS(10), No. 1, March 2009, pp. 42-46.
IEEE DOI 0903
BibRef

Jin, P.J., Yang, D.[Da], Ran, B.[Bin],
Reducing the Error Accumulation in Car-Following Models Calibrated With Vehicle Trajectory Data,
ITS(15), No. 1, February 2014, pp. 148-157.
IEEE DOI 1403
acceleration control BibRef

Bertolazzi, E., Biral, F., da Lio, M., Saroldi, A., Tango, F.,
Supporting Drivers in Keeping Safe Speed and Safe Distance: The SASPENCE Subproject Within the European Framework Programme 6 Integrating Project PReVENT,
ITS(11), No. 3, September 2010, pp. 525-538.
IEEE DOI 1003
BibRef

Kamal, M.A.S., Mukai, M., Murata, J., Kawabe, T.,
Ecological Vehicle Control on Roads With Up-Down Slopes,
ITS(12), No. 3, September 2011, pp. 783-794.
IEEE DOI 1109
BibRef

Desjardins, C., Chaib-draa, B.,
Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach,
ITS(12), No. 4, December 2011, pp. 1248-1260.
IEEE DOI 1112
BibRef

Xiao, L., Gao, F.,
Practical String Stability of Platoon of Adaptive Cruise Control Vehicles,
ITS(12), No. 4, December 2011, pp. 1184-1194.
IEEE DOI 1112
BibRef

Guvenc, L., Uygan, I.M.C., Kahraman, K., Karaahmetoglu, R., Altay, I., Senturk, M., Emirler, M.T., Hartavi Karci, A.E., Aksun., A.G.B.[Aksun Guvenc, B.], Altug, E., Turan, M.C., Tas, Ö.S., Bozkurt, E., Ozguner, Ü., Redmill, K., Kurt, A., Efendioglu, B.,
Cooperative Adaptive Cruise Control Implementation of Team Mekar at the Grand Cooperative Driving Challenge,
ITS(13), No. 3, September 2012, pp. 1062-1074.
IEEE DOI 1209
BibRef

Xiong, H., Boyle, L.N.,
Drivers' Adaptation to Adaptive Cruise Control: Examination of Automatic and Manual Braking,
ITS(13), No. 3, September 2012, pp. 1468-1473.
IEEE DOI 1209
BibRef

Gallen, R., Hautiere, N., Cord, A., Glaser, S.,
Supporting Drivers in Keeping Safe Speed in Adverse Weather Conditions by Mitigating the Risk Level,
ITS(14), No. 4, 2013, pp. 1558-1571.
IEEE DOI 1312
Cooperative systems BibRef

Pereira, M., Bruyas, M.P., Kaufmann, C., Britschgi, V., Diez Gil, J.L., Zaoral, A.,
Reported use of speed control systems: cruise control and speed limiter,
IET-ITS(7), No. 4, December 2013, pp. 425-431.
DOI Link 1402
vehicle dynamics BibRef

Zlocki, A., Themann, P.,
Methodology for quantification of fuel reduction potential for adaptive cruise control relevant driving strategies,
IET-ITS(8), No. 1, February 2014, pp. 68-75.
DOI Link 1406
acceleration control BibRef

Guo, G.[Ge], Yue, W.[Wei],
Sampled-Data Cooperative Adaptive Cruise Control of Vehicles With Sensor Failures,
ITS(15), No. 6, December 2014, pp. 2404-2418.
IEEE DOI 1412
adaptive control BibRef

Oncu, S., Ploeg, J., van de Wouw, N., Nijmeijer, H.,
Cooperative Adaptive Cruise Control: Network-Aware Analysis of String Stability,
ITS(15), No. 4, August 2014, pp. 1527-1537.
IEEE DOI 1410
adaptive control BibRef

Pan, D., Zheng, Y.,
Velocity difference control based on dynamic tracking of safe following distance in the process of vehicle following,
IET-ITS(8), No. 3, May 2014, pp. 232-243.
DOI Link 1407
BibRef

Khodayari, A., Ghaffari, A., Kazemi, R., Alimardani, F., Braunstingl, R.,
Improved adaptive neuro fuzzy inference system car-following behaviour model based on the driver-vehicle delay,
IET-ITS(8), No. 4, June 2014, pp. 323-332.
DOI Link 1407
BibRef

Butakov, V.A., Ioannou, P.A.,
Driver/Vehicle Response Diagnostic System for the Vehicle-Following Case,
ITS(15), No. 5, October 2014, pp. 1947-1957.
IEEE DOI 1410
Gaussian distribution BibRef

Higgs, B., Abbas, M.,
Segmentation and Clustering of Car-Following Behavior: Recognition of Driving Patterns,
ITS(16), No. 1, February 2015, pp. 81-90.
IEEE DOI 1502
Acceleration BibRef

Ploeg, J., Semsar-Kazerooni, E., Lijster, G., van de Wouw, N., Nijmeijer, H.,
Graceful Degradation of Cooperative Adaptive Cruise Control,
ITS(16), No. 1, February 2015, pp. 488-497.
IEEE DOI 1502
Acceleration BibRef

Milanes, V., Shladover, S.E., Spring, J., Nowakowski, C., Kawazoe, H., Nakamura, M.,
Cooperative Adaptive Cruise Control in Real Traffic Situations,
ITS(15), No. 1, February 2014, pp. 296-305.
IEEE DOI 1403
Sardis Award, Research. adaptive control BibRef

Wang, M.[Meng], Daamen, W., Hoogendoorn, S., van Arem, B.,
Potential impacts of ecological adaptive cruise control systems on traffic and environment,
IET-ITS(8), No. 2, March 2014, pp. 77-86.
DOI Link 1406
adaptive control BibRef

Li, S.E., Jia, Z., Li, K., Cheng, B.,
Fast Online Computation of a Model Predictive Controller and Its Application to Fuel Economy-Oriented Adaptive Cruise Control,
ITS(16), No. 3, June 2015, pp. 1199-1209.
IEEE DOI 1506
Computational modeling BibRef

Xu, S., Li, S.E., Zhang, X., Cheng, B., Peng, H.,
Fuel-Optimal Cruising Strategy for Road Vehicles With Step-Gear Mechanical Transmission,
ITS(16), No. 6, December 2015, pp. 3496-3507.
IEEE DOI 1512
Fuel economy BibRef

Liu, B., El Kamel, A.,
V2X-Based Decentralized Cooperative Adaptive Cruise Control in the Vicinity of Intersections,
ITS(17), No. 3, March 2016, pp. 644-658.
IEEE DOI 1603
Acceleration BibRef

Tak, S., Kim, S., Yeo, H.,
A Study on the Traffic Predictive Cruise Control Strategy With Downstream Traffic Information,
ITS(17), No. 7, July 2016, pp. 1932-1943.
IEEE DOI 1608
pattern recognition BibRef

Dou, Y., Ni, D., Wang, Z., Wang, J., Yan, F.,
Strategic car-following gap model considering the effect of cut-ins from adjacent lanes,
IET-ITS(10), No. 10, 2016, pp. 658-665.
DOI Link 1701
adaptive control BibRef

Chu, D.F.[Duan-Feng], Deng, Z.J.[Ze-Jian], He, Y.[Yi], Wu, C.Z.[Chao-Zhong], Sun, C.[Chuan], Lu, Z.J.[Zhen-Ji],
Curve speed model for driver assistance based on driving style classification,
IET-ITS(11), No. 8, October 2017, pp. 501-510.
DOI Link 1710
BibRef

Qin, W.B., Gomez, M.M., Orosz, G.,
Stability and Frequency Response Under Stochastic Communication Delays With Applications to Connected Cruise Control Design,
ITS(18), No. 2, February 2017, pp. 388-403.
IEEE DOI 1702
Asymptotic stability BibRef

Németh, B., Gáspár, P.,
The Relationship Between the Traffic Flow and the Look-Ahead Cruise Control,
ITS(18), No. 5, May 2017, pp. 1154-1164.
IEEE DOI 1705
Autonomous automobiles, Cruise control, Fuels, Optimization, Roads, Vehicles, Traffic flow, look-ahead cruise control, optimum speed, sensitivity, analysis BibRef

Shi, B.[Bin], Xu, L.[Li], Jiang, H.[Hong], Meng, W.Q.[Wu-Qiang],
Comparing fuel consumption based on normalised driving behaviour: A case study on major cities in China,
IET-ITS(11), No. 4, May 2017, pp. 189-195.
DOI Link 1705
BibRef

Yang, H., Rakha, H., Ala, M.V.,
Eco-Cooperative Adaptive Cruise Control at Signalized Intersections Considering Queue Effects,
ITS(18), No. 6, June 2017, pp. 1575-1585.
IEEE DOI 1706
Acceleration, Algorithm design and analysis, Fuels, Roads, Shock waves, Vehicles, Eco-CACC, advisory speed limits, automated vehicles, connected vehicles, queue length prediction, vehicle, fuel, consumption BibRef

Zhou, M., Qu, X., Jin, S.,
On the Impact of Cooperative Autonomous Vehicles in Improving Freeway Merging: A Modified Intelligent Driver Model-Based Approach,
ITS(18), No. 6, June 2017, pp. 1422-1428.
IEEE DOI 1706
Acceleration, Mathematical model, Merging, Oscillators, Traffic control, Trajectory, Vehicles, Autonomous vehicles (AVs), adaptive cruise control (ACC), cooperative intelligent driver model (CIDM), detecting technologies, vehicle-to-vehicle, communication BibRef

Massera Filho, C., Terra, M.H., Wolf, D.F.,
Safe Optimization of Highway Traffic With Robust Model Predictive Control-Based Cooperative Adaptive Cruise Control,
ITS(18), No. 11, November 2017, pp. 3193-3203.
IEEE DOI 1711
Acceleration, Optimization, Predictive models, Roads, Robustness, Safety, Uncertainty, Intelligent vehicles, BibRef

Idriz, A.F.[Adem F.], Rachman, A.S.A.[Arya S. Abdul], Baldi, S.[Simone],
Integration of auto-steering with adaptive cruise control for improved cornering behaviour,
IET-ITS(11), No. 10, December 2017, pp. 667-675.
DOI Link 1711
BibRef

Li, F., Wang, Y.,
Cooperative Adaptive Cruise Control for String Stable Mixed Traffic: Benchmark and Human-Centered Design,
ITS(18), No. 12, December 2017, pp. 3473-3485.
IEEE DOI 1712
Automobiles, Cruise control, Psychology, Stability criteria, Transfer functions, Cooperative adaptive cruise control (CACC), string stability BibRef

Strand, N., Nilsson, J., Karlsson, I.C.M., Nilsson, L.,
Exploring end-user experiences: self-perceived notions on use of adaptive cruise control systems,
IET-ITS(5), No. 2, June 2011, pp. 134-140.
DOI Link 1712
BibRef

Li, Y., Xu, C., Xing, L., Wang, W.,
Integrated Cooperative Adaptive Cruise and Variable Speed Limit Controls for Reducing Rear-End Collision Risks Near Freeway Bottlenecks Based on Micro-Simulations,
ITS(18), No. 11, November 2017, pp. 3157-3167.
IEEE DOI 1711
Adaptation models, Automobiles, Data models, Manuals, Safety, Traffic control, Cooperative adaptive cruise control, BibRef

de Campos, G.R., Rossa, F.D., Colombo, A.,
Safety Verification Methods for Human-Driven Vehicles at Traffic Intersections: Optimal Driver-Adaptive Supervisory Control,
HMS(48), No. 1, February 2018, pp. 72-84.
IEEE DOI 1801
Algorithm design and analysis, Approximation algorithms, Collision avoidance, Current measurement, Safety, traffic coordination BibRef

Ekman, F., Johansson, M., Sochor, J.,
Creating Appropriate Trust in Automated Vehicle Systems: A Framework for HMI Design,
HMS(48), No. 1, February 2018, pp. 95-101.
IEEE DOI 1801
Automation, Cruise control, Man-machine systems, Manuals, Road transportation, Uncertainty, Vehicles, user BibRef

Al-Jhayyish, A.M.H., Schmidt, K.W.,
Feedforward Strategies for Cooperative Adaptive Cruise Control in Heterogeneous Vehicle Strings,
ITS(19), No. 1, January 2018, pp. 113-122.
IEEE DOI 1801
Acceleration, Cruise control, Delays, Feedforward systems, Stability criteria, Vehicle dynamics, string stability BibRef

Li, Y.F.[Yong-Fu], Zhang, L.[Li], Zheng, H.[Hong], He, X.Z.[Xiao-Zheng], Peeta, S.[Srinivas], Zheng, T.X.[Tai-Xiong], Li, Y.G.[Yin-Guo],
Nonlane-Discipline-Based Car-Following Model for Electric Vehicles in Transportation-Cyber-Physical Systems,
ITS(19), No. 1, January 2018, pp. 38-47.
IEEE DOI 1801
Acceleration, Analytical models, Energy consumption, Mathematical model, Numerical models, Roads, Stability analysis, roadside device BibRef

Hao, S.X.[Shen-Xue], Yang, L.[Licai], Shi, Y.F.[Yun-Feng],
Data-driven car-following model based on rough set theory,
IET-ITS(12), No. 1, February 2018, pp. 49-57.
DOI Link 1801
BibRef

Molnár, T.G., Qin, W.B., Insperger, T., Orosz, G.,
Application of Predictor Feedback to Compensate Time Delays in Connected Cruise Control,
ITS(19), No. 2, February 2018, pp. 545-559.
IEEE DOI 1802
Cruise control, Delay effects, Packet loss, Stability criteria, Vehicle dynamics, Connected cruise control, predictive control, time delay BibRef

Korssen, T., Dolk, V., van de Mortel-Fronczak, J., Reniers, M., Heemels, M.,
Systematic Model-Based Design and Implementation of Supervisors for Advanced Driver Assistance Systems,
ITS(19), No. 2, February 2018, pp. 533-544.
IEEE DOI 1802
Cruise control, Discrete-event systems, Mathematical model, Supervisory control, Systematics, Tools, Vehicles, model-driven development BibRef

Sakhdari, B., Azad, N.L.,
A Distributed Reference Governor Approach to Ecological Cooperative Adaptive Cruise Control,
ITS(19), No. 5, May 2018, pp. 1496-1507.
IEEE DOI 1805
Asymptotic stability, Biological system modeling, Radar, Safety, Stability criteria, Trajectory, vehicle platooning BibRef

Nie, L.Z.[Lin-Zhen], Guan, J.Y.[Jia-Yi], Lu, C.H.[Chi-Hua], Zheng, H.[Hao], Yin, Z.S.[Zhi-Shuai],
Longitudinal speed control of autonomous vehicle based on a self-adaptive PID of radial basis function neural network,
IET-ITS(12), No. 6, August 2018, pp. 485-494.
DOI Link 1807
BibRef

Qin, Y.[Yanyan], Wang, H.[Hao], Ran, B.[Bin],
Control design for stable connected cruise control systems to enhance safety and traffic efficiency,
IET-ITS(12), No. 8, October 2018, pp. 921-930.
DOI Link 1809
BibRef

Li, Z., Chu, T., Kolmanovsky, I.V., Yin, X.,
Training Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example,
ITS(19), No. 9, September 2018, pp. 2903-2912.
IEEE DOI 1809
Markov processes, Learning (artificial intelligence), Optimal control, Cruise control, Convergence, Adaptation models, reinforcement learning BibRef

Bekiaris-Liberis, N., Roncoli, C., Papageorgiou, M.,
Predictor-Based Adaptive Cruise Control Design,
ITS(19), No. 10, October 2018, pp. 3181-3195.
IEEE DOI 1810
Delays, Stability criteria, Acceleration, Actuators, Control design, Numerical stability, Predictor feedback, delay systems, string stability BibRef

Meier, J.N.[Jan-Niklas], Kailas, A.[Aravind], Adla, R.[Rawa], Bitar, G.[George], Moradi-Pari, E.[Ehsan], Abuchaar, O.[Oubada], Ali, M.[Mahdi], Abubakr, M.[Maher], Deering, R.[Richard], Ibrahim, U.[Umair], Kelkar, P.[Paritosh], Kumar, V.V.[Vivek Vijaya], Parikh, J.[Jay], Rajab, S.[Samer], Sakakida, M.[Masafumi], Yamamoto, M.[Masashi],
Implementation and evaluation of cooperative adaptive cruise control functionalities,
IET-ITS(12), No. 9, November 2018, pp. 1110-1115.
DOI Link 1810
BibRef

Zhang, L.J.[Lin-Jun],
Cooperative adaptive cruise control in mixed traffic with selective use of vehicle-to-vehicle communication,
IET-ITS(12), No. 10, December 2018, pp. 1243-1254.
DOI Link 1812
BibRef

Kim, W., Kang, C.M., Son, Y.S., Lee, S., Chung, C.C.,
Vehicle Path Prediction Using Yaw Acceleration for Adaptive Cruise Control,
ITS(19), No. 12, December 2018, pp. 3818-3829.
IEEE DOI 1812
Acceleration, Radar, Vehicle driving, Roads, Cruise control, Cameras, Prediction methods, Longitudinal control, multirate Kalman filter BibRef

Ro, J.W., Roop, P.S., Malik, A., Ranjitkar, P.,
A Formal Approach for Modeling and Simulation of Human Car-Following Behavior,
ITS(19), No. 2, February 2018, pp. 639-648.
IEEE DOI 1802
Computational modeling, Data models, Delays, Human factors, Mathematical model, Vehicle dynamics, Vehicles, vehicle dynamics BibRef

Wang, X., Jiang, R., Li, L., Lin, Y., Zheng, X., Wang, F.Y.,
Capturing Car-Following Behaviors by Deep Learning,
ITS(19), No. 3, March 2018, pp. 910-920.
IEEE DOI 1804
Acceleration, Biological neural networks, Machine learning, Neurons, Numerical models, Vehicles, recurrent neural network (RNN) BibRef

Zhao, D., Huang, X., Peng, H., Lam, H., LeBlanc, D.J.,
Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers,
ITS(19), No. 3, March 2018, pp. 733-744.
IEEE DOI 1804
Acceleration, Data models, Lead, Monte Carlo methods, Safety, Stochastic processes, Vehicles, Automated vehicles, active safety, evaluation BibRef

Song, D., Tharmarasa, R., Kirubarajan, T., Fernando, X.N.,
Multi-Vehicle Tracking With Road Maps and Car-Following Models,
ITS(19), No. 5, May 2018, pp. 1375-1386.
IEEE DOI 1805
Acceleration, Clustering algorithms, Roads, Target tracking, Vehicle dynamics, Multi-vehicle tracking, road-map aided tracking BibRef

Pan, D., Zheng, Y., Qiu, J., Zhao, L.,
Synchronous Control of Vehicle Following Behavior and Distance Under the Safe and Efficient Steady-Following State: Two Case Studies of High-Speed Train Following Control,
ITS(19), No. 5, May 2018, pp. 1445-1456.
IEEE DOI 1805
Acceleration, Adaptation models, Calibration, Real-time systems, Safety, Vehicle dynamics, Vehicles, Vehicle following system, velocity-difference control BibRef

Ciuffo, B., Makridis, M., Toledo, T., Fontaras, G.,
Capability of Current Car-Following Models to Reproduce Vehicle Free-Flow Acceleration Dynamics,
ITS(19), No. 11, November 2018, pp. 3594-3603.
IEEE DOI 1812
acceleration, automobiles, energy consumption, road safety, road traffic, roads, traffic engineering computing, transportation, vehicle dynamics BibRef

Cattin, J.[Johana], Leclercq, L.[Ludovic], Pereyron, F.[Florian], Faouzi, N.E.E.[Nour-Eddin El],
Calibration of Gipps' car-following model for trucks and the impacts on fuel consumption estimation,
IET-ITS(13), No. 2, February 2019, pp. 367-375.
DOI Link 1902
BibRef

Lin, Q., Zhang, Y., Verwer, S., Wang, J.,
MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors,
ITS(20), No. 2, February 2019, pp. 790-796.
IEEE DOI 1902
Data models, Learning automata, Time series analysis, Numerical models, Vehicles, Computational modeling, Data mining, simulation and control BibRef

Wang, Y., Zhang, J., Lu, G.,
Influence of Driving Behaviors on the Stability in Car Following,
ITS(20), No. 3, March 2019, pp. 1081-1098.
IEEE DOI 1903
Stability analysis, Numerical stability, Automobiles, Sensitivity, Acceleration, Time factors, Safety margin, response time, risk perception BibRef

Sun, Y.[Yong], Wang, X.Y.[Xiang-Yu], Li, L.[Liang], Shi, J.[Jialei], An, Q.[Quan],
Modelling and control for economy-oriented car-following problem of hybrid electric vehicle,
IET-ITS(13), No. 5, May 2019, pp. 825-833.
DOI Link 1906
BibRef

Xu, D., Zhao, H., Guillemard, F., Geronimi, S., Aioun, F.,
Aware of Scene Vehicles: Probabilistic Modeling of Car-Following Behaviors in Real-World Traffic,
ITS(20), No. 6, June 2019, pp. 2136-2148.
IEEE DOI 1906
Vehicles, Predictive models, Acceleration, Vehicle dynamics, Probabilistic logic, Velocity control, Adaptation models, scene vehicles BibRef

Yang, D., Zhu, L., Liu, Y., Wu, D., Ran, B.,
A Novel Car-Following Control Model Combining Machine Learning and Kinematics Models for Automated Vehicles,
ITS(20), No. 6, June 2019, pp. 1991-2000.
IEEE DOI 1906
Predictive models, Data models, Mathematical model, Automobiles, Neural networks, Machine learning, Car-following control, automated vehicles BibRef

Lunze, J.,
Adaptive Cruise Control With Guaranteed Collision Avoidance,
ITS(20), No. 5, May 2019, pp. 1897-1907.
IEEE DOI 1905
Collision avoidance, Stability criteria, Vehicle dynamics, Safety, Robots, Indexes, Vehicle safety, autonomous vehicles, cruise control, velocity control BibRef

Darbha, S., Konduri, S., Pagilla, P.R.,
Benefits of V2V Communication for Autonomous and Connected Vehicles,
ITS(20), No. 5, May 2019, pp. 1954-1963.
IEEE DOI 1905
Acceleration, Stability analysis, Numerical stability, Robustness, Fuels, Mathematical model, Intelligent transportation systems, cooperative adaptive cruise control BibRef

Wang, P.[Ping], Chen, Y.[Yuqi], Wang, C.[Chao], Liu, F.Q.A.[Fu-Qi-Ang], Hu, J.[Jia], Van, N.N.[Nguyen Ngoc],
Development and verification of cooperative adaptive cruise control via LTE-V,
IET-ITS(13), No. 6, June 2019, pp. 991-1000.
DOI Link 1906
BibRef

Malikopoulos, A.A., Hong, S., Park, B.B., Lee, J., Ryu, S.,
Optimal Control for Speed Harmonization of Automated Vehicles,
ITS(20), No. 7, July 2019, pp. 2405-2417.
IEEE DOI 1907
Safety, Real-time systems, Fuels, Transportation, Shock waves, Traffic control, Acceleration, Vehicle speed control, energy usage BibRef

Chen, J.Z.[Jian-Zhong], Zhou, Y.[Yang], Liang, H.[Huan],
Effects of ACC and CACC vehicles on traffic flow based on an improved variable time headway spacing strategy,
IET-ITS(13), No. 9, September 2019, pp. 1365-1373.
DOI Link 1908
adaptive cruise control. BibRef

Li, G., Görges, D.,
Ecological Adaptive Cruise Control and Energy Management Strategy for Hybrid Electric Vehicles Based on Heuristic Dynamic Programming,
ITS(20), No. 9, September 2019, pp. 3526-3535.
IEEE DOI 1909
Gears, Energy management, Fuel economy, Dynamic programming, Optimization, Cruise control, Adaptive cruise control, heuristic dynamic programming BibRef

Gao, W., Gao, J., Ozbay, K., Jiang, Z.,
Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor with Time-Varying Topology,
ITS(20), No. 10, October 2019, pp. 3796-3805.
IEEE DOI 1910
Cruise control, Heuristic algorithms, Adaptation models, Vehicle dynamics, Autonomous vehicles, Topology, Delays, time-varying topology BibRef

Yoon, S., Jeon, H., Kum, D.,
Predictive Cruise Control Using Radial Basis Function Network-Based Vehicle Motion Prediction and Chance Constrained Model Predictive Control,
ITS(20), No. 10, October 2019, pp. 3832-3843.
IEEE DOI 1910
Predictive models, Prediction algorithms, Trajectory, Uncertainty, Hidden Markov models, Probabilistic logic, Safety, chance constrained model predictive control (CCMPC) BibRef

Sybis, M., Vukadinovic, V., Rodziewicz, M., Sroka, P., Langowski, A., Lenarska, K., Wesolowski, K.,
Communication Aspects of a Modified Cooperative Adaptive Cruise Control Algorithm,
ITS(20), No. 12, December 2019, pp. 4513-4523.
IEEE DOI 2001
Automobiles, Acceleration, Cruise control, Safety, Road transportation, Fuels, Sensors, Cruise control, communication aspects BibRef

Chen, Z., Park, B.B.,
Preceding Vehicle Identification for Cooperative Adaptive Cruise Control Platoon Forming,
ITS(21), No. 1, January 2020, pp. 308-320.
IEEE DOI 2001
Global Positioning System, Cruise control, Radar measurements, Connected vehicles, 5G mobile communication, sensor errors BibRef

Hajdu, D., Ge, J.I., Insperger, T., Orosz, G.,
Robust Design of Connected Cruise Control Among Human-Driven Vehicles,
ITS(21), No. 2, February 2020, pp. 749-761.
IEEE DOI 2002
Delays, Connected vehicles, Stability analysis, Vehicle-to-everything, Uncertainty, Delay effects, structured singular values BibRef

Lin, Y., Nguyen, H.L.T.,
Adaptive Neuro-Fuzzy Predictor-Based Control for Cooperative Adaptive Cruise Control System,
ITS(21), No. 3, March 2020, pp. 1054-1063.
IEEE DOI 2003
Adaptive systems, Stability analysis, Safety, Fuels, Predictive models, Vehicular ad hoc networks, Acceleration, fuel consumption BibRef

Makridis, M., Mattas, K., Ciuffo, B.,
Response Time and Time Headway of an Adaptive Cruise Control. An Empirical Characterization and Potential Impacts on Road Capacity,
ITS(21), No. 4, April 2020, pp. 1677-1686.
IEEE DOI 2004
Time factors, Vehicles, Roads, Delays, Automation, Acceleration, Cruise control, Adaptive cruise control, response time, traffic simulation BibRef

Mynuddin, M.[Mohammed], Gao, W.N.[Wei-Nan],
Distributed predictive cruise control based on reinforcement learning and validation on microscopic traffic simulation,
IET-ITS(14), No. 5, May 2020, pp. 270-277.
DOI Link 2005
BibRef

He, D.F.[De-Feng], Peng, B.B.[Bin-Bin],
Gaussian learning-based fuzzy predictive cruise control for improving safety and economy of connected vehicles,
IET-ITS(14), No. 5, May 2020, pp. 346-355.
DOI Link 2005
BibRef

Hu, J.[Jia], Wang, H.[Haoran], Li, X.[Xin], Li, X.H.[Xing-Hua],
Modelling merging behaviour joining a cooperative adaptive cruise control platoon,
IET-ITS(14), No. 7, July 2020, pp. 693-701.
DOI Link 2006
BibRef

Lunze, J.,
Design of the Communication Structure of Cooperative Adaptive Cruise Controllers,
ITS(21), No. 10, October 2020, pp. 4378-4387.
IEEE DOI 2010
Vehicle dynamics, Delays, Stability analysis, Adaptive systems, Cruise control, Intelligent transportation systems, Systematics, collision avoidance BibRef

Liu, H., Miao, C., Zhu, G.G.,
Economic Adaptive Cruise Control for a Power Split Hybrid Electric Vehicle,
ITS(21), No. 10, October 2020, pp. 4161-4170.
IEEE DOI 2010
Hybrid electric vehicles, Mechanical power transmission, Engines, Optimization, Economics, Fuels, Cruise control, linear quadratic tracking BibRef

Zhu, Y., He, H., Zhao, D.,
LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control,
ITS(21), No. 11, November 2020, pp. 4516-4525.
IEEE DOI 2011
Frequency-domain analysis, Delays, Time-domain analysis, Stability criteria, Vehicle dynamics, Adaptive systems, linear matrix inequality BibRef

Tajeddin, S., Ekhtiari, S., Faieghi, M., Azad, N.L.,
Ecological Adaptive Cruise Control With Optimal Lane Selection in Connected Vehicle Environments,
ITS(21), No. 11, November 2020, pp. 4538-4549.
IEEE DOI 2011
Optimization, Real-time systems, Safety, Biological system modeling, Computational modeling, generalized minimal residual BibRef

Das, S., Maurya, A.K.,
Defining Time-to-Collision Thresholds by the Type of Lead Vehicle in Non-Lane-Based Traffic Environments,
ITS(21), No. 12, December 2020, pp. 4972-4982.
IEEE DOI 2012
Automobiles, Accidents, Standards, Lead, Advanced driver assistance systems, Time-to-collision, adaptive cruise control BibRef

Liu, T., Selpi,
Comparison of Car-Following Behavior in Terms of Safety Indicators Between China and Sweden,
ITS(21), No. 9, September 2020, pp. 3696-3705.
IEEE DOI 2008
Safety, Automobiles, Roads, Time measurement, Lead, Velocity control, Car-following, cross-cultural comparison, driving behavior, time to collision BibRef

Alotibi, F.[Faris], Abdelhakim, M.[Mai],
Anomaly Detection for Cooperative Adaptive Cruise Control in Autonomous Vehicles Using Statistical Learning and Kinematic Model,
ITS(22), No. 6, June 2021, pp. 3468-3478.
IEEE DOI 2106
Kinematics, Sensors, Acceleration, Autonomous vehicles, Anomaly detection, Real-time systems, Statistical learning, kinematic model BibRef

Asadi, M.[Mehrdad], Fathy, M.[Mahmood], Mahini, H.[Hamidreza], Rahmani, A.M.[Amir Masoud],
A systematic literature review of vehicle speed assistance in intelligent transportation system,
IET-ITS(15), No. 8, 2021, pp. 973-986.
DOI Link 2107
BibRef

Ke, Z.[Zemian], Li, Z.B.[Zhi-Bin], Cao, Z.[Zehong], Liu, P.[Pan],
Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning,
ITS(22), No. 7, July 2021, pp. 4684-4695.
IEEE DOI 2107
Neural networks, Traffic control, Training, Merging, Testing, Task analysis, Optimal control, Bottleneck, congestion, transferability BibRef

Sawant, J.[Jaswandi], Chaskar, U.[Uttam], Ginoya, D.[Divyesh],
Robust Control of Cooperative Adaptive Cruise Control in the Absence of Information About Preceding Vehicle Acceleration,
ITS(22), No. 9, September 2021, pp. 5589-5598.
IEEE DOI 2109
Stability criteria, Vehicle dynamics, Uncertainty, Sliding mode control, Acceleration, Disturbance observers, sliding mode control (SMC) BibRef

Zhang, Y.[Yu], Bai, Y.[Yu], Wang, M.[Meng], Hu, J.[Jia],
Cooperative Adaptive Cruise Control With Robustness Against Communication Delay: An Approach in the Space Domain,
ITS(22), No. 9, September 2021, pp. 5496-5507.
IEEE DOI 2109
Aerospace electronics, Fuels, Topology, Phantoms, Delays, Stability criteria, Communication delay, string stability BibRef

Li, P.H.[Peng-Hui], Hu, M.X.[Meng-Xia], Chen, F.[Feng], Xu, C.L.[Cheng-Liang], Dong, C.J.[Chun-Jiao], Li, Y.B.[Yi-Bing],
Improve adaptive cruise control under driver distraction: Time headway compensation based on a random-effect crash risk model,
IET-ITS(15), No. 10, 2021, pp. 1241-1255.
DOI Link 2109
BibRef

Chu, H.Q.[Hong-Qing], Guo, L.[Lulu], Yan, Y.J.[Yong-Jun], Gao, B.Z.[Bing-Zhao], Chen, H.[Hong],
Self-Learning Optimal Cruise Control Based on Individual Car-Following Style,
ITS(22), No. 10, October 2021, pp. 6622-6633.
IEEE DOI 2110
Cruise control, Acceleration, Optimal control, Adaptation models, Vehicle dynamics, Automobiles, Adaptive cruise control, self-learning algorithm BibRef

Zhang, T.[Tao], Zou, Y.[Yuan], Zhang, X.D.[Xu-Dong], Guo, N.Y.[Ning-Yuan], Wang, W.[Wenwei],
Data-Driven Based Cruise Control of Connected and Automated Vehicles Under Cyber-Physical System Framework,
ITS(22), No. 10, October 2021, pp. 6307-6319.
IEEE DOI 2110
Cruise control, Cloud computing, Predictive models, Safety, Data models, Vehicle dynamics, merging behavior BibRef


Makimura, Y.[Yuji], Yoshimura, H.[Hiroki], Nishiyama, M.[Masashi], Iwai, Y.[Yoshio],
Decreasing Physical Burden Using the Following Effect and a Superimposed Navigation System,
VAMR17(533-543).
Springer DOI 1712
BibRef

Guan, Y.[Yue], Feng, S.S.[Shan-Shan], Huang, H.B.[Hai-Bo], Chen, L.[Liguo],
A Method for Improving Target Tracking Accuracy of Vehicle Radar,
CVS17(112-119).
Springer DOI 1711
BibRef

Duan, S.[Sutao], Zhao, J.[Jian],
A model based on hierarchical safety distance algorithm for ACC control mode switching strategy,
ICIVC17(904-908)
IEEE DOI 1708
Optical sensors, Optical switches, Safety, ACC control, camera, hierarchical safe distance algorithm, radar BibRef

Shi, J.C.[Jiang-Chao], Wu, J.[Jian],
Research on Adaptive Cruise Control based on curve radius prediction,
ICIVC17(180-184)
IEEE DOI 1708
Cruise control, Employee welfare, Integrated circuits, Predictive models, Roads, Target recognition, Trajectory, adaptive cruise control, curve radius prediction, mode switch, target, recognition BibRef

Bertozzi, M.[Massimo], Fedriga, R.I.[Rean Isabella],
Adverse Driving Conditions Alert: Investigations on the SWIR Bandwidth for Road Status Monitoring,
CIAP13(I:592-601).
Springer DOI 1311
BibRef

Louwerse, W.J.R., Hoogendoorn, S.P.,
ADAS safety impacts on rural and urban highways,
IVS04(887-890).
IEEE DOI 0411
Advanced Driver Assistance Systems. Intelligent Speed Adaptation and Intersection Crash Avoidance should help. BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Overtaking Analysis, Control .


Last update:Nov 1, 2021 at 09:26:50