Cognitive Route Search Technique for Self-Driving Vehicles

Cognitive Route Search Technique for Self-Driving Vehicles

Hironori Hiraishi (Ashikaga Institute of Technology, Ashikaga, Japan) and Fumio Mizoguchi (WisdomTex Inc., Tokyo, Japan)
DOI: 10.4018/IJCINI.2018010103
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This article introduces Time-Constrained Heuristic Search (TCS) as a route search technique that incorporates a cognitive aspect in self-driving vehicles. TCS is a search method using which we can set the time limit to generate a route in advance. The most important feature of TCS is that the node expansion in the latter portion of the journey near the destination tends to be minimized to ensure that the search finishes within the prescribed time limit. TCS conducts a search during the initial portion of the journey that is related to the route the vehicle will move on in the immediate future, but does not take into account the latter portion of the route to a great extent. So, TCS can be regarded as the search technique that selects an option to generate immediate benefit. This characteristic is well-known as the present-oriented bias or the prospect theory in cognitive psychology. Hence, the authors can infer that TCS provides an ability of cognitive judgment to self-driving vehicles.
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2. Route Search For Self-Driving Vhiecles

Currently, congestion is a major problem encountered in real traffic environments across the globe. Some approaches to the problems of traffic congestion have been suggested, including an analysis and improvement of the road through traffic engineering (Amudapuram & Kalaga, 2012), and traffic management through signal control in the Intelligent Transport System (ITS) (Rahane & Saharkar, 2014). We approach the problem of traffic congestion by using a route search technique. When traffic congestion occurs along a route, vehicles can adopt a new route to avoid the congestion.

However, if many vehicles adopt the optimal route, it may cause traffic congestion at a different location. Such a situation can be regarded as a social dilemma (Dawes, 1980) in the field of game theory and social psychology. Individual rational choice does not always correspond with the rational choice for a society as a whole. Thus, the optimal route no longer remains optimal and the route change ends up being a bad decision.

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