Advanced OR and AI Methods in Transportation COLLECTING ACTIVITY-TRAVEL DIARY DATA BY MEANS OF A HAND-HELD COMPUTER-ASSISTED DATA COLLECTION TOOL
نویسندگان
چکیده
Activity-based transportation models have set the standard for modelling travel demand for the last decade. It seems common practice nowadays to collect the data to estimate these activity-based transportation models by means of activity diaries. This paper explores potential advantages and disadvantages that may occur in the collection of this type of data by means of a hand-held computer-assisted data collection tool.
منابع مشابه
Dynamic activity-travel diary data collection using a GPS-enabled personal digital assistant
Activity-based transportation models have set the standard for modelling travel demand for the last decade. It seems common practice nowadays to collect the data to estimate these activity-based transportation models by means of activitytravel diaries. This paper presents a general functional framework of an advanced activity-travel diary data collection application to be deployed on a GPS-enab...
متن کاملGeocoding: a Necessary First Step
the 1950s, are a common tool for transportation planning. While these surveys are designed for the purpose of developing input for the travel forecasting process, the resulting data often end up being used for a wide range of planning and research activities. Stopher and Metcalf ’s survey of 55 recent travel surveys found that most took the form of a travel diary.1 While these diaries ranged co...
متن کاملCapturing travel entities to facilitate travel behaviour analysis A case study on generating travel diaries from trajectories fused with accelerometer readings
The increase in population, accompanied by an increase in the availability of travel opportunities have kindled the interest in understanding how people make use of the space around them and their opportunities. Understanding the travel behaviour of individuals and groups is difficult because of two main factors: the travel behaviour’s wide coverage, which encompasses different research areas, ...
متن کاملExploring the potentials of automatically collected GPS data for travel behaviour analysis – A Swedish data source
Understanding the regularity and the variability of individual travel behaviour over time has been one of the key issues in travel behaviour research for three decades. A deeper insight into the long-term mobility patterns of persons and households has been so far restricted by the limited availability of longitudinal data, though. This paper presents an innovative approach to gain longitudinal...
متن کاملPredicting the Next State of Traffic by Data Mining Classification Techniques
Traffic prediction systems can play an essential role in intelligent transportation systems (ITS). Prediction and patterns comprehensibility of traffic characteristic parameters such as average speed, flow, and travel time could be beneficiary both in advanced traveler information systems (ATIS) and in ITS traffic control systems. However, due to their complex nonlinear patterns, these systems ...
متن کامل