Robust traffic merging strategies for sensor-enabled cars using time geography

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2009, Pages 362-371

  Wang, Ziyuan ^a   Kulik, Lars ^a   Ramamohanarao, Kotagiri ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

ITS applications; Traffic flow control; Vehicular networks

Indexed keywords

ACCURACY LEVEL; MAIN ROADS; MERGING ALGORITHMS; MERGING BEHAVIOR; POSITIONING INFORMATION; ROAD CAPACITY; SENSOR ERRORS; TIME GEOGRAPHY; TRAFFIC FLOW; TRAFFIC FLOW CONTROL; TRAFFIC MERGING; VEHICULAR NETWORKS;

ALGORITHMS; FLOW CONTROL; GEOGRAPHIC INFORMATION SYSTEMS; HIGHWAY TRAFFIC CONTROL; INFORMATION SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; ROADS AND STREETS; SENSORS; TRAFFIC SURVEYS;

MERGING;

EID: 74049114991     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1653771.1653821     Document Type: Conference Paper

References (32)

1. GM develops vehicles with a sixth sense. http://www.automotoportal.com/ article/gm-develops-vehicles-with-a-sixth-sense,last accessed: July 2007.
2. G. Bonanno, R. Fantoni, A. Fichera, G. Fornetti, C. Moriconi, C. Poggi, M. Caponero, A. Broggi, and A. Fascioli. The sensing subsystem of RAS, 2003.
3. A. Bose and P. A. Ioannou. Analysis of traffic flow with mixed manual and semiautomated vehicles. IEEE Trans. Intell. Transport. Syst., 4(4):173-188, 2003.
4. P. CI-6558. Acceleration sensor. http://hug.phys.huji.ac.il/PHYS-HUG/ MAABADA/MABADA-A/Pasco/ci/ci-6558/012-06361b/01206361b.pdf, last accessed: April 2008.
5. R. Cowan. The uncontrolled traffic merge. J. Appl. Prob., 16:384-392, 1979.
6. L. Davis. Effect of adaptive cruise control systems on mixed traffic flow near an on-ramp. Physica A, 379(1):274-290, 2007.
7. J. Du and M. Barth. Next-generation automated vehicle location systems: Positioning at the lane level. IEEE Trans. Intell. Transport. Syst., 9(1):48-57, 2008.
8. W. J. Fleming. Overview of automotive sensors. IEEE Sens. J., 1(4):296-308, 2001.
9. T. Hägerstrand. What about people in regional science? Papers of the Regional Science Association, 24:7-21, 1970.
10. P. Hidas. Modelling vehicle interactions in microscopic simulation of merging and weaving. Transp. Res. C, 13(1):37-62, 2005.
11. J. Hightower and G. Barriello. Location systems for ubiquitous computing. IEEE Computer, 34(8):57-66, 2001.
12. A. Kanaris, E. B. Kosmatopoulos, and P. A. Loannou. Strategies and spacing requirements for lane changing and merging in automated highway systems. IEEE Trans. Veh. Technol., 50(6):1568-1581, 2001.
13. S. Kato and S. Tsugawa. Cooperative driving of autonomous vehicles based on localization, inter-vehicle communications and vision systems. JSAE Review, 22(4):503-509, 2001.
14. A. Kesting, M. Treiber, and D. Helbing. General lane-changing model MOBIL for car-following models. Transportation Research Record, 1999:86-94, 2007.
15. A. Kesting, M. Treiber, M. Schönhof, and D. Helbing. Adaptive cruise control design for active congestion avoidance. Transp. Res. C, 16(6):668-683, 2008.
16. W. Li and H. Leung. Simultaneous registration and fusion of multiple dissimilar sensors for cooperative driving. IEEE Trans. Intell. Transport. Syst., 5(2):84-98, 2004.
17. X. Y. Lu, H. S. Tan, S. E. Shladover, and J. K. Hedrick. Automated vehicle merging maneuver implementation for AHS. Vehicle Syst. Dyn., 41(2):85-107, 2004.
18. H. Miller. A measurement theory for time geography. Geographical analysis, 37(1):17-45, 2005.
19. H. Minkowski. Raum und Zeit. Physikalische Zeitschrift, 10:75-88, 1908.
20. R. Rajamani and S. E. Shladover. An experimental comparative study of autonomous and co-operative vehicle-follower control systems. Transp. Res. C, 9(1):15-31, 2001.
21. B. Ran, S. Leight, and B. Chang. A microscopic simulation model for merging control on a dedicated-lane automated highway system. Transp. Res. C, 7(6):369 - 388, 1999.
22. J. Raper. Multidimensional geographic information science. CRC, 2000.
23. C. Robert. Simulation of truncated normal variables. Statistics and computing, 5(2):121-125, 1995.
24. M. Sarvi and M. Kuwahara. Microsimulation of freeway ramp merging processes under congested traffic conditions. IEEE Trans. Intell. Transport. Syst., 8(3):470-479, 2007.
25. S. E. Shladover and S.-K. Tan. Analysis of vehicle positioning accuracy requirements for communication-based cooperative collision warning. J. Intell. Transport. Syst., 10(3):131-140, 2006.
26. M. Tanizaki and O. Wolfson. Randomization in traffic information sharing systems. In Proc. GIS '07, pages 1-8. ACM New York, NY, USA, 2007.
27. M. Treiber, A. Hennecke, and D. Helbing. Congested traffic states in empirical observations and microscopic simulations. Phys. Rev. E, 62(2):1805-1824, 2000.
28. P. Varaiya. Smart cars on smart roads: Problems of control. IEEE Trans. Autom. Control, 38(2):195-207, 1993.
29. L. Vlacic, M. Parent, and F. Harashima. Intelligent Vehicle Technologies: Theory and Applications. Butterworth-Heinemann, London, 2001.
30. Z. Wang, L. Kulik, and K. Ramamohanarao. Proactive traffic merging strategies for sensor-enabled cars. In Proc. VANET '07, pages 39-48. ACM New York, NY, USA, 2007.
31. Z. Wang, L. Kulik, and K. Ramamohanarao. Multi-lane traffic merging strategies for sensor-enabled cars at ramps. 2008. Manuscript submitted for publication.
32. S. Winter and M. Raubal. Time geography for ad-hoc shared-ride trip planning. In Proc. MDM '06, page 6. IEEE Computer Society, Washington, DC, USA, 2006.