This paper investigates the use of smartphones in vehicle fleets for identifying high-risk locations in a road network, before a crash may have happened. A novel method is proposed on how to use smartphone GPS and motion sensor data to automatically recognize critical car driving situations and near-misses such as emergency braking, evasion manoeuvres or sudden driving speed changes. In the area of Vienna, Austria, approximately 200 hours of driving data were collected with a dedicated smartphone app, from about 100 drivers covering more than 8,000 km. Additionally, various near-miss manoeuvres were measured on a closed test track under controlled conditions. In post-processing, this data was analysed in terms of driver-specific thresholds for critical driving situations. Results show that by using this modelling approach, critical situations can be accurately identified and geographically located with smartphones. An interface to traffic management would allow near-miss information to be used along accident data in the improvement of safety and efficiency of a traffic system. A combination of the proposed method with digital maps enables future applications for traffic and fleet managers, such as a "road safety hazard map".
We present a first measurement study on two popular wallets with built-in distributed CoinJoin functionality, Wasabi and Samourai, in the context of the broader Bitcoin ecosystem. By applying two novel heuristics, we can effectively pinpoint 25,070 Wasabi and 134,569 Samourai transactions within the first 689,255 (2021-07-01) blocks. Our study reveals a somewhat steady adoption of these services and found a growing trend with a total amount of 190,777.11 mixed BTC with a value of ca. 3.02 B USD. Within the recent six months, we measured an average monthly mixing throughput of 5410.98 BTC (ca. 240.14 M USD). Among all actors, which were directly or indirectly involved in CoinJoins, we also found a lower-bound of 32 distinct exchanges and traced a lower-bound of 6683.19 BTC (ca. 95.98 M USD) mixed coins received by exchanges. Our analysis further shows that linking heuristics over Wasabi and Samourai transactions allows us to narrow down the anonymity set provided by these wallets over time. Furthermore, we estimate the number of mixing outputs that are handled in Wasabi and Samourai correspondingly over time. Overall, this is the first paper to provide a comprehensive picture of the adoption of distributed CoinJoin and to discuss implications for end-users, cryptoasset exchanges, and regulatory bodies.
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