Antenna Characterization for Bluetooth-Based Travel Time Data Collection

Travel time information is becoming more important for applications ranging from congestion measurement to real-time travel information. Several advanced techniques for travel time data collection are discussed, including electronic distance-measuring instruments (DMIs), computerized and video license plate matching, cellular phone tracking, automatic vehicle identification (AVI), automatic vehicle location (AVL), and video imaging. The various advanced techniques are described, the necessary equipment and procedures are outlined, the applications of each technique are discussed, and the advantages and disadvantages are summarized. Electronic DMIs are low in cost but typically limited to congestion monitoring applications. Computerized and video license plate matching are more expensive and would be most applicable for congestion measurement and monitoring. Cellular phone tracking, AVI, and AVL systems may require a significant investment in communications infrastructure, but they can provide real-time information. Video imaging is still in testing stages, with some uncertainty about costs and accuracy.

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Development and Benefits of Computer-Aided Travel Time Data Collection

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198196155100101 ◽

1996 ◽

Vol 1551 (1) ◽

pp. 1-7 ◽

Cited By ~ 4

Author(s):

Robert J. Benz ◽

Michael A. Ogden

Keyword(s):

Data Collection ◽

Travel Time ◽

Automated Analysis ◽

Future Research ◽

Measuring Instruments ◽

Time Data ◽

Computer Data ◽

Distance Information ◽

Travel Time Data ◽

Computer Aided

Link travel times are one of the most widely used and valuable measurements of congestion. Travel time measures are compatible with multimodal analyses and are understood by nontechnical audiences, yet are rigorous enough for technical analyses by transportation engineers and planners. The “average” car and floating car techniques are the most widely used travel time–based measures. Although there are cost, safety, and data limitation problems associated with collecting travel time data manually, the use of computer-aided travel time technology solves most of these problems. Detailed speed, time, and distance information can be safely collected in up to 0.1-sec intervals for a reasonable cost. The consistent format of the computer data lends itself to an automated analysis process. The development and benefits of using computer-aided travel time data collection techniques using distance-measuring instruments (DMI) and laptop computers are discussed. Automated analysis techniques and developmental software can produce results such as speed profiles, average speeds, level of service, and vehicle accelerations. Current and future research on air quality methods, fuel consumption information, and planning model potential is also presented.

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METHODS OF TEST VEHICLE TRAVEL TIME DATA COLLECTION TECHNIQUES ON A ROUTE AND REQUIREMENTS TO THE SAMPLE SIZES

Bulletin of the Angarsk State Technical University ◽

10.36629/2686-777x-2018-1-12-192-195 ◽

2018 ◽

Vol 1 (12) ◽

pp. 192-195

Author(s):

Yuliya Poltavskaya

Keyword(s):

Data Collection ◽

Distribution Coefficient ◽

Normal Distribution ◽

Travel Time ◽

Relative Error ◽

Coefficient Of Variation ◽

Time Data ◽

Test Vehicle ◽

Travel Time Data ◽

Vehicle Travel Time

The article describes the methods of travel time data collection techniques using a test vehicle, their comparative characteristics are given. The requirements for the volume of the sample values of the travel time, which are based on the values of the following parameters: Student's criterion (or normal distribution), coefficient of variation and relative error are considered

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