Dynamic route planning for car navigation systems using virus genetic algorithms

@article{Kanoh2007DynamicRP,
  title={Dynamic route planning for car navigation systems using virus genetic algorithms},
  author={Hitoshi Kanoh},
  journal={Int. J. Knowl. Based Intell. Eng. Syst.},
  year={2007},
  volume={11},
  pages={65-78}
}
  • H. Kanoh
  • Published 2007
  • Business
  • Int. J. Knowl. Based Intell. Eng. Syst.
This paper describes a practical dynamic route planning method using real road maps in a wide area. The maps include traffic signals, road classes, and the number of lanes. The proposed solution is using a genetic algorithm adopting viral infection. The method is to use viruses as domain specific knowledge. A part of an arterial road is regarded as a virus. A population of viruses is generated in addition to a population of routes. Crossover and infection determine the near-optimal combination… 
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78 Citations
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78 Citations

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References

SHOWING 1-10 OF 23 REFERENCES

Knowledge based genetic algorithm for dynamic route selection

  • H. KanohTomohiro Nakamura
  • Business
    KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516)
  • 2000
Experiments using actual road maps show that the infection method is effective for the problem of selecting a route to a given destination on a road map under a dynamic environment using a genetic algorithm adopting viral infection.

Evaluation of GA-based dynamic route guidance for car navigation using cellular automata

Experiments with the system in a dynamic environment built from a real road map show that the GA-based method is superior to the Dykstra algorithm for use in practical car navigation devices.

A practical route planning algorithm for vehicle navigation system

  • M. FuJie LiZ. Deng
  • Computer Science
    Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)
  • 2004
A practical route planning algorithm for vehicle navigation system that takes advantage of the adjacent list data structure and the mechanism of restricted searching area and uses the spatial distribution feature of the real road network to restrict the searching area in reason is proposed.

Traffic flow simulation using cellular automata under non-equilibrium environment

  • Hideki KozukaYohsuke MatsuiH. Kanoh
  • Computer Science
    2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236)
  • 2001
A traffic flow simulator that uses cellular automata in a non-equilibrium environment where traffic congestion occurs frequently to evaluate dynamic route selection methods and confirmed that the simulator works effectively for real road maps.

A genetic algorithm for shortest path routing problem and the sizing of populations

A population-sizing equation based on the gambler ruin model that can be used for determining an adequate population size in the shortest path (SP) routing problem and exhibits a much better quality of solution and a much higher rate of convergence than other algorithms.

Adaptations of the A* algorithm for the computation of fastest paths in deterministic discrete-time dynamic networks

It is shown that the computational savings of the A* algorithm for computing fastest paths from one origin node to one destination node, in a class of dynamic networks the link travel times of which satisfy the first-in-first-out property, increase with the size of the network topology.

Planning multiple paths with evolutionary speciation

This paper demonstrates a new approach to multidimensional path planning that is based on multiresolution path representation, where explicit configuration space computation is not required, and…

Dynamic and stochastic shortest path in transportation networks with two components of travel time uncertainty

Solving constraint-satisfaction problems by a genetic algorithm adopting viral infection

Finding shortest paths in large network systems

The proposed disk-based algorithm is based on new algorithms for graph partitioning and for finding shortest paths that overcome the problem of existing approaches and is scalable to large network systems and is adaptable to different computing environments.