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| Content Provider | ACM Digital Library |
|---|---|
| Author | Hirose, Michitaka Narumi, Takuji Takeuchi, Toshiki Tanikawa, Tomohiro Suwa, Kyohei Nakazato, Naoto |
| Abstract | Unlike trains or buses, automobiles are essentially uncontrollable for road management companies. However, we can influence driver behavior to a certain degree by displaying appropriate traffic information. When taking a break at the rest area of an expressway, many drivers are unaware of the future traffic conditions along the highway toward their destination. We propose a method for changing the driver's departure time by predicting the future traffic conditions and informing the driver on how long the driver will expect to wait in a traffic jam based on the time at which the driver chooses to depart from the rest area. We created a prototype system for implementing the proposed method using the driver's smartphone and big data regarding the traffic conditions on an expressway in real-time. In this paper, we report the survey results of an elementary questionnaire regarding the proposed method. |
| Starting Page | 127 |
| Ending Page | 130 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450330473 |
| DOI | 10.1145/2638728.2638778 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-09-13 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Traffic jam Drivers' behavior Behavior induction Future prediction |
| Content Type | Text |
| Resource Type | Article |
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