CoChat
Sign Up
Cited by 112

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Overview and analysis of Vehicle Automation and Communication Systems from a motorway traffic management perspective

Diakaki, Christina, Papageorgiou, Markos, Papamichail, Ioannis, Nikolos, Ioannis·2015·Transportation Research Part A: Policy and Practice
DOI 10.1016/j.tra.2015.03.015
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1016/j.tra.2015.03.015

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 77

  1. Alam, A., 2011. Fuel-Efficient Distributed Control for Heavy Duty Vehicle Platooning. Licentiate Thesis in Automatic Control, KTH School of Electrical Engineering, Stockholm, Sweden. <http://kth.diva-portal.org/smash/get/diva2:447050/FULLTEXT01> (accessed 09.04.13).
  2. Alam, A., Gattami, A., Johansson, K., 2010. An experimental study on the fuel reduction potential of heavy duty vehicle platooning. In: Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems (ITSC), Funchal, pp. 306–311. · DOI
  3. Arnaout, 2011, Towards reducing traffic congestion using cooperative adaptive cruise control on a freeway with a ramp, J. Ind. Eng. Manage., 4, 699
  4. Benmimoun, 2013, Impact assessment of adaptive cruise control and forward collision warning within a field operational test in Europe, ATZ Worldwide, 115, 74, 10.1007/s38311-013-0051-5 · DOI
  5. Bergenheim, C., Shladover, S., Coelingh, E., 2012. Overview of platooning systems. In: Proceedings of the 19th ITS World Congress, Vienna, Austria. <http://publications.lib.chalmers.se/records/fulltext/174621/local_174621.pdf> (accessed 10.01.14).
  6. Bergenhem, 2012, Vehicle-to-Vehicle communication for a platooning system, Proc. – Social Behav. Sci., 48, 1222, 10.1016/j.sbspro.2012.06.1098 · DOI
  7. Bonnet, C., 2003. The Platooning Application, CHAUFFEUR Final Presentation. International Workshop on Vehicle Safety Communications (ARIB), Tokyo, Japan. <http://www.itsforum.gr.jp/Public/E4Meetings/P01/fremont5_2_2.pdf> (accessed 10.01.14).
  8. Bose, 2003, Analysis of traffic flow with mixed manual and semiautomated vehicles, IEEE Trans. Intell. Transp. Syst., 4, 173, 10.1109/TITS.2003.821340 · DOI
  9. Buscema, D., Ignaccolo, M., Inturri, G., Pluchino, A., Rapisarda, A., Santoro, C., Tudisco, S., 2009. The impact of real time information on transport network routing through intelligent agent-based simulation. In: Proceedings of the 2009 IEEE Toronto International Conference on Science and Technology for Humanity (TIC-STH), Toronto, ON, pp. 72–77. · DOI
  10. Carlson, 2011, Local feedback-based mainstream traffic flow control on motorways using variable speed limits, IEEE Trans. Intell. Transp. Syst., 12, 1261, 10.1109/TITS.2011.2156792 · DOI
  11. Carsten, 2005, Intelligent speed adaptation: accident savings and cost–benefit analysis, Accid. Anal. Prev., 37, 407, 10.1016/j.aap.2004.02.007 · DOI
  12. Davis, 2004, Effect of adaptive cruise control systems on traffic flow, Phys. Rev. E, 69, 066110, 10.1103/PhysRevE.69.066110 · DOI
  13. Davis, 2006, Effect of cooperative merging on the synchronous flow phase of traffic, Physica A, 361, 606, 10.1016/j.physa.2005.06.046 · DOI
  14. Davis, 2007, Effect of adaptive cruise control systems on mixed traffic flow near an on-ramp, Physica A, 379, 274, 10.1016/j.physa.2006.12.017 · DOI
  15. Delling, D., Wagner, D., 2009. Time-dependent route planning. In: Ahuja, R.K., Möhring, R.H., Zaroliagis, C.D. (Eds.), Robust and Online Large-Scale Optimization, Lecture Notes in Computer Science, vol. 5868, pp. 207–230. · DOI
  16. Delling, 2009, Engineering route planning algorithms, vol. 5515, 117
  17. Eby, 1999, An on-the-road comparison of in-vehicle navigation assistance systems, Human Factors: J. Human Factors Ergon. Soc., 41, 295, 10.1518/001872099779591222 · DOI
  18. Flinsenberg, I.C.M., 2004. Route Planning Algorithms for Car Navigation. PhD Thesis, Technische Universiteit Eindhoven, The Netherlands.
  19. Godbole, D.N., Hagenmeyer, V., Sengupta, R., Swaroop, D., 1997. Design of emergency manoeuvres for automated highway system: obstacle avoidance problem. In: Proceedings of the 36th IEEE Conference on Decision and Control. · DOI
  20. Habenicht, S., Winner, H., Bone, S., Sasse, F., Korzenietz, P., 2011. A maneuver-based lane change assistance system. In: 2011 IEEE Intelligent Vehicles Symposium (IV), pp. 375–380. <http://www.fzd.tu-darmstadt.de/media/fachgebiet_fzd/publikationen_3/2011_1/2011_Habenicht_Maneuverbased_Lane_Change_Assistance.pdf> (accessed 07.11.13). · DOI
  21. Hallé, 2005, A collaborative driving system based on multiagent modelling and simulations, Transp. Res. Part C: Emerg. Technol., 13, 320, 10.1016/j.trc.2005.07.004 · DOI
  22. Hegeman, G., 2002. Green light for ISA? The Effect of Intelligent Speed Adaptation on the Traffic Flow. ICTCT (International Co-operation on Theories and Concepts in Traffic Safety) Workshop on Intelligent Speed Adaptation, Nagoya, Japan. <http://www.ictct.org/workshop.php?workshop_nr=16> (accessed 02.04.13).
  23. Hogema, J., Schuurman, H., Tampère, C.M.J., 2002. ISA Effect Assessment: From Driving Behavior to Traffic Flow. ICTCT (International Co-operation on Theories and Concepts in Traffic Safety) Workshop on Intelligent Speed Adaptation, Nagoya, Japan. <http://www.ictct.org/workshop.php?workshop_nr=16> (accessed 02.04.13).
  24. Humphrey, A., 2005. SWOT analysis for management consulting. SRI Alumni Association Newsletter (SRI International), December 2005 issue, pp. 7–8. <http://www.sri.com/sites/default/files/brochures/dec-05.pdf> (accessed 01.07.14).
  25. Ioannou, P.A., Zhang, J., 2005. Roadway/Vehicle Integrated Transportation System. Workshop on Modeling and Control of Complex Systems, Ayia Napa, Cyprus, June 30–July 1. <http://seacorn.cs.ucy.ac.cy/pub/bscw.cgi/d39710-1/∗/MCCS%20Ioannou.pdf> (accessed 30.07.13).
  26. Jahn, 2005, System-optimal routing of traffic flows with user constraints in networks with congestion, Oper. Res., 53, 600, 10.1287/opre.1040.0197 · DOI
  27. Jiang, 2006, The adaptive cruise control vehicles in the cellular automata model, Phys. Lett. A, 359, 99, 10.1016/j.physleta.2006.06.015 · DOI
  28. Jula, 2000, Collision avoidance analysis for lane changing and merging, IEEE Trans. Veh. Technol., 49, 2295, 10.1109/25.901899 · DOI
  29. Kaparias, 2009, Testing a reliable in-vehicle navigation algorithm in the field, IET Intell. Transp. Syst., 3, 314, 10.1049/iet-its.2008.0075 · DOI
  30. Kaparias, I., Bell, M.G.H., 2010. A reliability-based dynamic re-routing algorithm for in-vehicle navigation. In: Proceedings of the 13th International IEEE Annual Conference on Intelligent Transportation Systems, Madeira Island, Portugal, pp. 974–979. · DOI
  31. Kaparias, 2007, ICNavS: a tool for reliable dynamic route guidance, IET Intell. Transp. Syst., 1, 225, 10.1049/iet-its:20060066 · DOI
  32. Kavathekar, P., 2012. Cognitive Vehicle Platooning in the ERA of Automated Electric Transportation. MSc Thesis in Electrical Engineering, Utah State University, USA. <http://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=2396&context=etd> (accessed 09.04.13).
  33. Kesting, 2007, Extending adaptive cruise control to adaptive driving strategies, Transp. Res. Rec.: J. Transp. Res. Board, 2000, 16, 10.3141/2000-03 · DOI
  34. Kesting, 2008, Adaptive cruise control design for active congestion avoidance, Transp. Res. Part C: Emerg. Technol., 16, 668, 10.1016/j.trc.2007.12.004 · DOI · Paper page
  35. Kesting, 2010, Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity, Philos. Trans. R. Soc. A, 368, 4585, 10.1098/rsta.2010.0084 · DOI
  36. Kianfar, R., 2013. On Control Strategy and Safety Verification of Automated Vehicles. Thesis for the Degree of Licentiate of Engineering, Department of Signals and Systems, Chalmers University of Technology, Göteborg, Sweden. <http://publications.lib.chalmers.se/records/fulltext/173698/173698.pdf> (accessed 09.04.13).
  37. Knake-Langhorst, 2013, Merge and exit support for the driver, ATZ Worldwide, 115, 82, 10.1007/s38311-013-0052-4 · DOI
  38. Lavien, 2011, Aesthetics and usability of in-vehicle navigation displays, Int. J. Human–Comput. Stud., 69, 80, 10.1016/j.ijhcs.2010.10.002 · DOI
  39. Lee, 2002, A longitudinal control system for a platoon of vehicles using a fuzzy-sliding mode algorithm, Mechatronics, 12, 97, 10.1016/S0957-4158(00)00063-5 · DOI
  40. Lee, 2012, A fast and scalable re-routing algorithm based on shortest path and genetic algorithms, Int. J. Comput. Commun. Control, 7, 482, 10.15837/ijccc.2012.3.1389 · DOI
  41. Lee, 2008, Iterative design of MOVE: A situationally appropriate vehicle navigation system, Int. J. Human–Comput. Stud., 66, 198, 10.1016/j.ijhcs.2007.01.004 · DOI
  42. Li, 2002, Traffic flow stability induced by constant time headway policy for adaptive cruise control vehicles, Transp. Res. Part C: Emerg. Technol., 10, 275, 10.1016/S0968-090X(02)00004-9 · DOI
  43. Liu, 2004, Network effects of intelligent speed adaptation systems, Transportation, 31, 297, 10.1023/B:PORT.0000025394.78857.13 · DOI
  44. Ma, 2007, Effects of in-vehicle navigation assistance and performance on driver trust and vehicle control, Int. J. Ind. Ergon., 37, 665, 10.1016/j.ergon.2007.04.005 · DOI
  45. Marchau, 2010, Enhancing speed management by in-car speed assistance systems, IET Intell. Transp. Syst., 4, 3, 10.1049/iet-its.2009.0038 · DOI
  46. May, 2005, The design of next generation in-vehicle navigation systems for the older driver, Interact. Comput., 17, 643, 10.1016/j.intcom.2005.09.004 · DOI
  47. Michael, 1998, Capacity analysis of traffic flow over a single-lane Automated Highway System (AHS), ITS J. – Intell. Transp. Syst. J.: Technol., Plan., Oper., 4, 119
  48. Minderhoud, M.M., 1999. Supported Driving: Impacts on Motorway Traffic Flow. PHD Thesis, TRAIL Thesis Series T99/4, The Netherlands TRAIL Research School, Delft University Press, The Netherlands. <http://repository.tudelft.nl/assets/uuid:2c3220ef-d60c-4a2a-8f05-89b09ab5b57b/ceg_minderhoud_19990907.PDF> (accessed 02.04.13).
  49. Pang, 2002, Intelligent route selection for in-vehicle navigation systems, Transp. Plan. Technol., 25, 175, 10.1080/0308106022000019639 · DOI
  50. Papageorgiou, 2002, Freeway ramp metering: an overview, IEEE Trans. Intell. Transp. Syst., 3, 271, 10.1109/TITS.2002.806803 · DOI
  51. Papageorgiou, 2003, Review of road traffic control strategies, Proc. IEEE, 91, 2043, 10.1109/JPROC.2003.819610 · DOI
  52. Papageorgiou, 2008, Real-time merging traffic control with applications to toll plaza and work zone management, Transp. Res. C, 16, 535, 10.1016/j.trc.2007.11.002 · DOI
  53. Pueboobpaphan, 2010, Driver and vehicle characteristics and platoon and traffic flow stability – understanding the relationship for design and assessment of cooperative adaptive cruise control, Transp. Res. Rec.: J. Transp. Res. Board, 2189, 89, 10.3141/2189-10 · DOI
  54. Rajamani, 2012, 10.1007/978-1-4614-1433-9 · DOI
  55. Santhanakrishnan, 2003, On spacing policies for highway vehicle automation, IEEE Trans. Intell. Transp. Syst., 4, 198, 10.1109/TITS.2003.821341 · DOI
  56. Schultes, D., 2008. Route Planning in Road Networks. PhD Thesis, Fakultät für Informatik der Universität Fridericiana zu Karlsruhe (TH), Germany.
  57. Swaroop, D., Rajagopal, K.R., 2001. A review of constant time headway policy for automatic vehicle following. In: 2001 IEEE Intelligent Transportation Systems Conference Proceedings, Oakland (CA), USA. · DOI
  58. Tapani, 2012, Vehicle trajectory effects of adaptive cruise control, J. Intell. Transp. Syst.: Technol., Plan., Oper., 16, 36, 10.1080/15472450.2012.639641 · DOI
  59. Tideman, M., van der Voort, M.C., van Arem, B., Tillema, F., 2007. A review of lateral driver support systems. In: Proceedings of the 2007 IEEE Intelligent Transportation Systems Conference, Seattle, WA, USA, pp. 992–999. <http://doc.utwente.nl/60592/1/Tideman07review.pdf> (accessed 07.11.13). · DOI
  60. Tientrakool, P., Ho, Y.-C., Maxemchuk, N., 2011. Highway capacity benefits from using vehicle-to-vehicle communication and sensors for collision avoidance. In: Proceedings of the IEEE Vehicular Technology Conference (VTC Fall), San Francisco, CA, pp. 1–5. · DOI · Paper page
  61. Tomar, 2012, Safety of lane change maneuver through a priori prediction of trajectory using neural networks, Netw. Protocols Algorithms, 4, 4
  62. Tsugawa, S., 2014. An automated truck platoon within the Energy ITS Project. Featured Article, IEEE ITS Society Newsletter 16 (1), 11–14. <http://sites.ieee.org/itss/files/2014/01/v16n1January2014.pdf> (accessed 20.01.14).
  63. van Arem, 2006, The impact of cooperative adaptive cruise control on traffic-flow characteristics, IEEE Trans. Intell. Transp. Syst., 7, 429, 10.1109/TITS.2006.884615 · DOI
  64. van Driel, C.J.G., 2007. Driver Support in Congestion: An Assessment of User Needs and Impacts on Driver and Traffic Flow. CTIT Ph.D. Thesis Series No. 07-106, TRAIL Thesis Series T2007/10, The Netherlands TRAIL Research School. <http://doc.utwente.nl/58037/1/thesis_van_Driel.pdf> (accessed 03.04.13).
  65. van Driel, 2010, The impact of a congestion assistant on traffic flow efficiency and safety in congested traffic caused by a lane drop, J. Intell. Transp. Syst.: Technol., Plan., Oper., 14, 197, 10.1080/15472450.2010.516226 · DOI
  66. VanderWerf, 2001, Modeling effects of driver control assistance systems on traffic, Transp. Res. Rec., 1748, 167, 10.3141/1748-21 · DOI
  67. VanderWerf, 2002, Effects of adaptive cruise control systems on highway traffic flow capacity, Transp. Res. Rec., 1800, 78, 10.3141/1800-10 · DOI
  68. Varhelyi, 2001, The effects of in-car speed limiters: field studies, Transp. Res. Part C, 9, 191, 10.1016/S0968-090X(00)00025-5 · DOI
  69. Visser, R., 2005. Co-operative Driving on Highways – An Assessment of the Impact of the Advanced Driver Assistance System ‘Co-operative Adaptive Cruise Control’ on Traffic Flow Using Microscopic Traffic Simulation. MSc Thesis, University of Twente, The Netherlands. <http://www.utwente.nl/ctw/aida/education/Rapport_RV.pdf> (accessed 02.04.13).
  70. Viti, F., Hoogendoorn, S.P., Alkim, T.P., Bootsma, G., 2008. Driving behavior adaptation under ACC: results from a large Field Operational Test in the Netherlands. Preprints of the Intelligent Vehicle Symposium, Eindhoven, The Netherlands, pp. 745–750. <https://www.mech.kuleuven.be/cib/verkeer/dwn/pub/PC2008E.pdf> (accessed 09.04.13). · DOI
  71. Vlassenroot, 2011, Potential for in-car speed assistance systems: results of a large-scale survey in Belgium and the Netherlands, IET Intell. Transp. Syst., 5, 80, 10.1049/iet-its.2010.0041 · DOI
  72. Wan, 2011, Lane change behaviour modelling for autonomous vehicles based on surroundings recognition, Int. J. Automotive Eng., 2, 7, 10.20485/jsaeijae.2.2_7 · DOI
  73. Wang, 2004, Should adaptive cruise-control systems be designed to maintain a constant time gap between vehicles?, IEEE Trans. Veh. Technol., 53, 1480, 10.1109/TVT.2004.832386 · DOI
  74. Wilmink, I., Klunder, G., van Arem, B., 2006. The impact of integrated full-range speed assistance on traffic flow. In: Proceedings of the 13th ITS World Congress, London, UK. <ftp://218.22.27.69/%E6%99%BA%E8%83%BD%E4%BA%A4%E9%80%9A%E5%A4%A7%E4%BC%9A%E8%B5%84%E6%96%99/13%E5%B1%8AITS%E4%B8%96%E7%95%8C%E5%A4%A7%E4%BC%9A/papers/1372.doc> (accessed 04.04.13).
  75. Xiao, 2010, A comprehensive review of the development of adaptive cruise control systems, Veh. Syst. Dyn.: Int. J. Veh. Mech. Mob., 48, 1167, 10.1080/00423110903365910 · DOI
  76. Yi, 2006, Macroscopic traffic flow propagation stability for adaptive cruise controlled vehicles, Transp. Res. Part C: Emerg. Technol., 14, 81, 10.1016/j.trc.2006.05.005 · DOI
  77. Yuan, 2009, Traffic flow characteristics in a mixed traffic system consisting of ACC vehicles and manual vehicles: a hybrid modelling approach, Physica A, 388, 2483, 10.1016/j.physa.2009.02.033 · DOI

Cited by

Sorted by citations

See all 112

Metadata

Authors
Diakaki, C., Papageorgiou, M., Papamichail, I., & Nikolos, I.
Venue
Transportation Research Part A: Policy and Practice
Publisher
Elsevier BV
Published
2015-05
Volume
75
Pages
147-165
ISSN
0965-8564
DOI
10.1016/j.tra.2015.03.015
Cited by
112
References
1
Language
en
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review