Next Article in Journal
A Time Bank System Design on the Basis of Hyperledger Fabric Blockchain
Previous Article in Journal
Digital Cloud Environment: Present Challenges and Future Forecast
Open AccessArticle

Mobile Application to Provide Traffic Congestion Estimates and Tourism Spots to Promote Additional Stopovers

1
Faculty of Information Networking for Innovation and Design, Toyo University, Tokyo 115-0053, Japan
2
Department of Civil Engineering, Shibaura Institute of Technology, Tokyo 135-8548, Japan
3
Department of Tourism Science, Tokyo Metropolitan University, Hino 192-0397, Japan
4
NAVITIME Japan Co., Ltd., Tokyo 107-0062, Japan
*
Author to whom correspondence should be addressed.
Future Internet 2020, 12(5), 83; https://doi.org/10.3390/fi12050083
Received: 19 February 2020 / Revised: 23 April 2020 / Accepted: 28 April 2020 / Published: 29 April 2020
(This article belongs to the Special Issue Selected Papers from ICITE 2019)
In Japan, traffic congestions often occur on the expressways connecting tourism areas with the Tokyo metropolitan area. This congestion can be mitigated if tourists delayed their departure of homeward trips to avoid peak traffic hours. A potential method to promote staggered departure times is providing the estimates of near-future traffic congestion. This study hypothesized and experimentally confirmed that some tourists would delay their departure to avoid traffic based on near-future traffic estimates. The experiment was conducted in the Yatsugatake area using a mobile application that provided this information to tourists. The results suggest that approximately 40% of self-driving tourists will perform an additional stopover if the returning route is congested and near-future traffic congestion estimate is provided. View Full-Text
Keywords: additional stopover; traffic congestion; self-driving tourists; route for returning home; travel trajectory additional stopover; traffic congestion; self-driving tourists; route for returning home; travel trajectory
Show Figures

Figure 1

MDPI and ACS Style

Aoyagi, S.; Le, Y.; Shimizu, T.; Takahashi, K. Mobile Application to Provide Traffic Congestion Estimates and Tourism Spots to Promote Additional Stopovers. Future Internet 2020, 12, 83.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop