Travel times in urban road networks are highly stochastic. However, most existing travel time estimation methods only estimate the mean travel times, while ignoring travel time variances. To this end, this paper proposes a robust travel time distribution estimation method to estimate both the mean and variance of travel times by using emerging low-frequency floating car data. Different from the...

Telecommuting means that employees work completely or sometime at home or at remote telecommuting centres instead of daily travel to work at regular offices. Impacts of telecommuting on transport are becoming significant. This paper reviews the growth of telecommuting and analyzes the necessity to evaluate the influence of telecommuting in transport planning and control. The transport network e...

The topic of intermodal passenger mobility has become more important during the last 20 years. As options increase in number and flexibility, it gets attractive to combine multiple modes on single trips. In addition, travel behavior is expected contribute less car dependent transport sector’s reduction greenhouse gas emissions. Creating improving conditions for such a requires planning with kno...

On urban arterials, travel time estimation is challenging especially from various data sources. Typically, fusing loop detector data and probe vehicle data to estimate travel time is a troublesome issue while considering the data issue of uncertain, imprecise and even conflicting. In this paper, we propose an improved data fusing methodology for link travel time estimation. Link travel times ar...

We formulate a model for locating multiple-server, congestible facilities. Locations of these facilities maximize total expected demand attended over the region. The effective demand at each node is elastic to the travel time to the facility, and to the congestion at that facility. The facilities to be located are fixed, so customers travel to them in order to receive service or goods, and the ...

Abstract Travel demand estimation, as represented by an origin–destination (OD) matrix, is essential for urban planning and management. Compared to data typically used in travel the key strengths of social media are that they low-cost, abundant, available real-time, free geographical partition. However, also have significant limitations: population behavioural biases, lack important information...

A great disparity exists between the direction of travel demand forecasting by researchers, and the travel demand models used by transportation planning organizations. Activity-based models of travel demand have become increasingly studied in the academic realm and significant advances have been made in recent years. However, travel demand forecasting tools used in practice have lagged behind, ...