Effects of Weather Related Safety Messages on the Motorway Traffic Parameters

Sándor, Zsolt Péter

doi:10.3311/pptr.9117

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…In 4, Kusano et al (2013Kusano et al ( , 2015 [29,30] developed a disaster information sharing system, while Yamamoto (2018) [7] and Abe et al (2019) [8] developed sightseeing support systems using nonlinguistic information, including pictograms, as mentioned in the previous section. Sándor (2017) [31] examined the impact of weather-related warning message signs on traffic in adverse weather circumstances on motorways. Hayashi et al (2019) [32] proposed an information-providing method to express train service situations in central urban areas by combining multiple pictograms, such as sign-logo images.…”

Section: Related Workmentioning

confidence: 99%

A Sightseeing Support System Using Augmented Reality and Pictograms within Urban Tourist Areas in Japan

Sasaki

Yamamoto

2019

IJGI

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Though tourists can search for necessary information on the internet while sightseeing, it takes effort and is inconvenient to obtain available information related to specific sightseeing spots among the copious amount of information online. Targeting urban tourist areas in Japan, the present study aims to develop a system that can provide guidance and information concerning sightseeing spots by integrating location-based augmented reality (AR) and object-recognition AR and by using pictograms. The system enables users to efficiently obtain the directions to sightseeing spots and nearby facilities within urban tourist areas and sightseeing spot information. Additionally, the city of Chofu in the metropolis of Tokyo was selected as the operation target area. The operation of the system was conducted for 1 month, targeting those inside and outside the operation target area, and a web questionnaire survey was conducted with a total number of 50 users. From the evaluation results of the web questionnaire survey, the usefulness of the original functions of integrating location-based AR and object-recognition AR and by using pictograms, as well as of the entire system, was analyzed. From the results of the access analysis of users’ log data, it is expected that users will further utilize each function. Additionally, it is evident that location-based AR was used more often than was object-recognition AR.

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