WIKIPEDIA ENTRIES AS A SOURCE OF CAR NAVIGATION LANDMARKS

Car navigation system devices provide today with an easy and simple solution to the basic concept of reaching a destination. Although these systems usually achieve this goal, they still deliver a limited and poor sequence of instructions that do not consider the human nature of using landmarks during wayfinding. This research paper addresses the concept of enriching navigation route instructions by adding supplementary route information in the form of landmarks. We aim at using a contributed source of landmarks information, which is easy to access, available, show high update rate, and have a large scale of information. For this, Wikipedia was chosen, since it represents the world’s largest free encyclopaedia that includes information about many spatial entities. A survey and classification of available landmarks is implemented, coupled with ranking algorithms based on the entries’ categories and attributes. These are aimed at retrieving the most relevant landmark information required that are valuable for the enrichment of a specific navigation route. The paper will present this methodology, together with examples and results, showing the feasibility of using this concept and its potential of enriching navigation processes.

Download Full-text

WIKIPEDIA ENTRIES AS A SOURCE OF CAR NAVIGATION LANDMARKS

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsannals-iii-2-45-2016 ◽

2016 ◽

Vol III-2 ◽

pp. 45-52

Author(s):

N. Binski ◽

L. Zhang ◽

S. Dalyot

Keyword(s):

Navigation System ◽

Large Scale ◽

Ranking Algorithms ◽

Route Instructions ◽

Update Rate ◽

Route Information ◽

Spatial Entities ◽

Car Navigation System ◽

Car Navigation

Download Full-text

New Approach to Smooth Traffic Flow with Route Information Sharing

Multi-Agent Systems for Traffic and Transportation Engineering - Advances in Mechatronics and Mechanical Engineering ◽

10.4018/978-1-60566-226-8.ch014 ◽

2009 ◽

pp. 291-306 ◽

Cited By ~ 2

Author(s):

Tomohisa Yamashita ◽

Koichi Kurumatani

Keyword(s):

Information Sharing ◽

Travel Time ◽

Navigation System ◽

Social Acceptability ◽

Traffic Efficiency ◽

Individual Incentive ◽

Average Travel Time ◽

Route Information ◽

Car Navigation System ◽

Car Navigation

With maturation of ubiquitous computing technology, it has become feasible to design new systems to improve our urban life. In this chapter, the authors introduce a new application for car navigation in a city. Every car navigation system in operation today has the current position of the vehicle, the destination, and the currently chosen route to the destination. If vehicles in a city could share this information, they could use traffic information to improve traffic efficiency for each vehicle and the whole system. Therefore, this chapter proposes a cooperative car navigation system with route information sharing (RIS). In the RIS system, each vehicle transmits route information (current position, destination, and route to the destination) to a route information server, which estimates future traffic congestion using current congestion information and this information and feeds its estimate back to each vehicle. Each vehicle uses the estimation to re-plan their route. This cycle is then repeated. The authors’ purpose in this chapter is to confirm the effectiveness of the proposed cooperative car navigation system with multiagent simulation. To evaluate the effect of the RIS system, we introduce two indexes; individual incentive and social acceptability. In theor traffic simulation with three types of road networks, the authors observe that the average travel time of the drivers using the RIS system is substantially shorter than the time of other drivers. Moreover, as the number of the RIS drivers increases, the average travel time of all drivers decreases. As a result of simulation, this chapter confirms that a cooperative car navigation system with the RIS system generally satisfied individual incentive and social acceptability, and had a effect for the improvement of traffic efficiency.

Download Full-text