On-ramp traffic merging using cooperative intelligent vehicles: A slot-based approach

The merging of main road and on-ramp traffic is known to lead to congestion under heavy traffic conditions. This is mainly due to the underutilization of the road infrastructure and the lack of efficiency in the way the in which the merging manoeuvre is performed by human drivers. We propose a merging algorithm based on our previous work on slot-based driving which employs cooperation between vehicles within the main motorway as well as between motorway and on-ramp vehicles to achieve a highly efficient merging. The results of the evaluation show that our algorithm achieves a very high throughput and low delay on the on-ramp and clearly outperforms the merging performed by VISSIM's human driver model.

[1]  J. Karl Hedrick,et al.  Automated Vehicle Merging Maneuver Implementation for AHS , 2004 .

[2]  Jalal Al-Obaedi,et al.  Microsimulation Model for Motorway Merges With Ramp-Metering Controls , 2012, IEEE Transactions on Intelligent Transportation Systems.

[3]  Markos Papageorgiou,et al.  Freeway ramp metering: an overview , 2002, IEEE Trans. Intell. Transp. Syst..

[4]  Vinny Cahill,et al.  Real-time coordination of autonomous vehicles , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[5]  L. C. Davis.  Effect of adaptive cruise control systems on mixed traffic flow near an on-ramp , 2005 .

[6]  Kiyohito Tokuda,et al.  Vehicle control algorithms for cooperative driving with automated vehicles and intervehicle communications , 2002, IEEE Trans. Intell. Transp. Syst..

[7]  Qing Xu,et al.  Simulation, analysis, and comparison of ACC and CACC in highway merging control , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[8]  Dan C. Marinescu,et al.  An active approach to guaranteed arrival times based on traffic shaping , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[9]  Thanh-Son Dao,et al.  Optimized Lane Assignment Using Inter-Vehicle Communication , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[10]  Tom Vanderbilt,et al.  Traffic: Why We Drive the Way We Do (and What It Says About Us) , 2009 .

[11]  R Wiedemann,et al.  MODELLING OF RTI-ELEMENTS ON MULTI-LANE ROADS , 1991 .

[12]  Atsuya Uno,et al.  A merging control algorithm based on inter-vehicle communication , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).

[13]  Kotagiri Ramamohanarao,et al.  Proactive traffic merging strategies for sensor-enabled cars , 2007, VANET '07.

[14]  Andreas Reuter,et al.  Transaction Processing: Concepts and Techniques , 1992 .

[15]  Markus Maurer,et al.  Stadtpilot: Driving autonomously on Braunschweig's inner ring road , 2010, 2010 IEEE Intelligent Vehicles Symposium.

[16]  Alberto Broggi,et al.  Sensing requirements for a 13,000 km intercontinental autonomous drive , 2010, 2010 IEEE Intelligent Vehicles Symposium.

[17]  Vinny Cahill,et al.  A reliable membership service for vehicular safety applications , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

[18]  Alexander Skabardonis,et al.  Design, Field Implementation and Evaluation of Adaptive Ramp Metering Algorithms: Final Report , 2006 .

[19]  Steven E. Shladover,et al.  Cooperative (rather than autonomous) vehicle-highway automation systems , 2009, IEEE Intelligent Transportation Systems Magazine.

[20]  M. Baucus.  Transportation Research Board , 1982 .

[21]  Pravin Varaiya,et al.  Causes and cures of highway congestion , 2001 .

[22]  Martin Fössleitner,et al.  Traffic: Why We Drive the Way We Do (And What it Says About Us) , 2009 .

[23]  Zhijun Li,et al.  Vehicle merging control design for an automated highway system , 1997, Proceedings of Conference on Intelligent Transportation Systems.