Cycling volumes are necessary to understand what influences ridership and are essential
for safety studies. Traditional methods of data collection are expensive, time consuming, and …

Detection and tracking of objects in the side-near-field has attracted much attention for the
development of advanced driver assistance systems. This paper presents a cost-effective …

Traditional methods of counting bicyclists are resource-intensive and generate data with
sparse spatial and temporal detail. Previous research suggests big data from crowdsourced …

Overcoming concerns about bicycling safety is critical to increasing the health benefits of
bicycling for transportation. While exposure measures are critical for monitoring and …

Utilization of movement data from mobile sports tracking applications is affected by its
inherent biases and sensitivity, which need to be understood when developing value-added …

This research describes numerical methods to analyze the absolute transport demand of
cyclists and to quantify the road network weaknesses of a city with the aim to identify …

Active travel (AT) has the potential to integrate with, or in some cases substitute for, trips
taken by motorized transportation. In this paper we review relevant research on AT …

Emerging big data resources and practices provide opportunities to improve transportation
safety planning and outcomes. However, researchers and practitioners recognise that big …

While traditional pedestrian and bicyclist monitoring methods require active efforts from data
collectors, advancements in technology have made it possible to use the proliferation of …

Previous research has demonstrated the influence of street layout on travel behaviour;
however, little research has been undertaken to explore these connections using detailed …