Abstract
Household trip data is of crucial importance for managing present transportation infrastructure as well as to plan and design future facilities. It also provides basis for designing new policies, implemented under Transportation Demand Management, and assessing their effectiveness. With passage of time, methods used for household trip data collection have evolved, starting from the conventional face-to-face interviews or paperand-pencil interviews, moving on to mail-back surveys and internet-based surveys, before finally reaching to the recent approach of passive data gathering. Recording travel data automatically will require the use of modern technology present in the form of various sensors, and employing intelligent algorithms to infer the required information from these sensors’ data. These sensors can be integrated into a purpose-built device or more recently can be present in smartphones. The current study provides a comprehensive review of the research done in the field of travel mode detection from data passively collected with the help of various devices. The review starts from Global Positioning System (GPS) loggers and moves to cover purpose-built wearable devices containing additional sensors and finally ending with the most modern approach of incorporating smartphones. The summary tables presented in this study are of great value to the researchers trying to get insight of this research field.
Highlights
Accurate household travel data collection is indispensable for the efficient designing and management of transportation infrastructure
The some cases, the users were asked to respond to a computer-assisted surveys demonstrated a refinement prompted recall survey [17,18,19]. In these prompted from the previous face-to-face interviews [5], but recall surveys, Global Positioning System (GPS) data was processed and failed to adequately address the basic limitations in presented back to the participants, usually in the form (Person Trip (PT) data collection methods [6,7,8]
Smartphone penetration is on the rise, even in developing countries, making them indispensable. In addition to their rapid dispersion, the other thing that caught the attention of researchers was the integration of a vast array of sensors, most significant being GPS and accelerometer. These devices are an essential part of their lives, scoring a major advantage over other purpose-built devices integrated with similar sensors, as the respondents have to perform the cumbersome task of carrying them everywhere
Summary
Accurate household travel data collection is indispensable for the efficient designing and management of transportation infrastructure. The some cases, the users were asked to respond to a computer-assisted surveys demonstrated a refinement prompted recall survey [17,18,19] In these prompted from the previous face-to-face interviews [5], but recall surveys, GPS data was processed and failed to adequately address the basic limitations in presented back to the participants, usually in the form (Person Trip (PT) data collection methods [6,7,8]. All these methods have one core drawback and that is the reliance on the memory of the respondent. The appropriate number of participants was calculated to be 81 and the same number was used
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