Social vehicle navigation

Abstract

In this paper, we propose a Social Vehicle Navigation system that integrates driver-provided information into a vehicle navigation system in order to calculate personalized routing. Our approach allows drivers registered into certain vehicle social network groups to share driving experiences with other drivers using voice tweets. These tweets are automatically aggregated into tweet digests for each social group based on location and destination. While listening to the tweet digests, a driver can instruct the social navigator to avoid or choose certain road segments in order to calculate a personalized route. We present our initial design along with a simple prototype implemented for the Android platform.

Data Transmissions Using Hub Nodes in Vehicular Social Networks

“…This aspect is becoming more urgent with the advent of new potential applications and services that could highly benefit from social ties. There is an increasing need to showcase vehicular social applications and services enabling proximity-based social interactions among vehicles during daily travel [27], [28]. The major trend to make social networks available among vehicles is Mobile Social Software (MoSoSo) [29].…”

“…As an example, the Twittermobile car developed by Ford [30] allows Twitter messages to be sent containing information ranging from the driver's mood to real-time traffic warnings. Similarly, traffic related voice tweets can be shared through NaviTweet [31], such that the driver's preferences can be incorporated into the navigator's route calculation. RoadSpeak [22] is a voice chat system used by daily driving commuters or a group of people who are on a commuter bus or train.…”

Improving Recommendation Accuracy Using Social Network of Owners in Social Internet of Vehicles

“…A crowed-sourcing-based VSN, with the name SocialDrive, was presented by Hu et al to help in reducing the fuel consumption and improving driver's safety [21]. Another traditional VSN-based SN was presented in Reference [22], where the drivers can share their driving experiences with other drivers, and these experiences are aggregated based on the spatial and temporal dimensions. Roadcast is another VSN, where the vehicles can query other vehicles, and the most relevant information is retrieved based on the keywords in the query [23].…”

Privacy-Preserving Schemes for Ad Hoc Social Networks: A Survey

“…How well a user can protect his privacy from third party developers depends not only on his decisions, but also on the decisions of his friends. New applications that are based on the social concept of vehicular networking, like Navitweet [115] and Caravan Track [116] combined with traditional OSNs can create new privacy threats for the users.…”