Latest Advanced Technology and Tasks in Automobile Engineering
Seminar 7: Communication Technology in ITS
Jenna M. Eason, North Carolina State University
1) Short Range Communication will be widely used in ITS
a) What are the merits and demerits of short range communication?
DSRC, Dedicated Short Range Communication, is effective in ITS such as electronic toll collection. It provides less delay and is faster than long range technology because two units send signals, which means the distance and time each signal must travel is cut in half. DSRC also provides for more privacy and security. Since the signal is limited, it is much less likely that another receiver will be able to get your information. This technology also allows for frequent use. DSRC has a limited bandwidth, which could be good or bad. The limited bandwidth provides additional security so that other receivers are not contacted, but it may be more difficult to locate the correct receiver. The signal must be standardized because of this.
b) Why does ITS use short range communication?
The above merits justify ITS’s use of short range communication. These systems are used in (or proposed to be used in) Electronic Toll Collection (ETC), information delivery, to receive traffic information, for electronic payment at the gas station, and for parking access management. Currently, over 20 million units are used in Japan.
2) Travel time prediction is one of the key applications for ITS
a) Describe characteristics of travel time, which enable travel time prediction
Travel time varies according to the change of traffic conditions after departure. Travel time can be predicted if certain factors are taken into account throughout the journey. Historical data fused with current conditions can help with an accurate prediction. Historical data includes VICS, weather information, and probe information. It is also important to keep in mind that historical data constantly changes with current conditions and there must be an accurate way to process this information. Through a complex matrix complication, prediction accuracy is improved. Also, predicted information can be received through real time data from the internet, mobile phone or car navigation system. Currently, reviewing real-time data, historical data, the fusion of data, and Mitsubishi’s new prediction formulation, results in 4 very different solutions.
b) Write your ideas about how to model the above characteristics
This is a completely unfamiliar area of research to me and I am excited about the advanced accuracy of combining historical data with real-time information. I think it would also be interesting to fuse demographic information about the driver and their trends into the matrix. This information could predict the driving style and speed of a typical 25-year-old female and compare this with a typical 57-year-old male. The system should also take into account the driver’s personal driving style. Are they a speeder, just-the-limit, or grandma style?
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