The k-Canadian Travelers Problem with communication

This paper studies a variation of the online k-Canadian Traveler Problem (k-CTP), in which there are multiple travelers who can communicate with each other, to share real-time blockage information of the edges. We study two different communication levels for the problem, complete communication (where all travelers can receive and send blockage information with each other) and limited communication (where only some travelers can both receive and send information while the others can only receive information). The objective is that at least one traveler finds a feasible route from the origin to the destination with as small cost as possible. We give lower bounds on the competitive ratio for both the two communication levels. Considering the urban traffic environment, we propose the Retrace-Alternating strategy and Greedy strategy for both the two communication levels, and prove that increasing the number of travelers with complete communication ability may not always improve the competitive ratio of online strategies.

[1]  Stephan Westphal,et al.  A note on the k-Canadian Traveller Problem , 2008, Inf. Process. Lett..

[2]  Wolfram Burgard,et al.  Collaborative multi-robot exploration , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[3]  Mihalis Yannakakis,et al.  Shortest Paths Without a Map , 1989, Theor. Comput. Sci..

[4]  Allan Borodin,et al.  Online computation and competitive analysis , 1998 .

[5]  Alon Itai,et al.  Adaptive Source Routing in High-Speed Networks , 1996, J. Algorithms.

[6]  Wolfram Burgard,et al.  Coordination for Multi-Robot Exploration and Mapping , 2000, AAAI/IAAI.

[7]  Baruch Schieber,et al.  The Canadian Traveller Problem , 1991, SODA '91.

[8]  Yin-Feng Xu,et al.  The canadian traveller problem and its competitive analysis , 2009, J. Comb. Optim..

[9]  Sebastian Thrun,et al.  A system for multi-agent coordination in uncertain environments , 2001, AGENTS '01.