The opportunities for data collection in smart cities and communities provide new approaches assessing risk of roadway components. This paper presents compares two different methodological cycling safety assessment objective perceived risk. Objective was derived from speed direction profiles collected with Global Navigation Satellite System (GNSS) camera installed on an instrumented bicycle. Sa...

The majority of research on bicyclist injury severity relates to bicycle-motor vehicle crashes, even though single-bicycle crashes make up more than half bicycle crashes. This study explores the factors related outcome We use crash data obtained from medical records collected in period 2010-2015 combined with road maintenance data. includes three categories: 'severe injury', 'slight 'no injury'...

The increase in the number of electric bicycles worldwide has resulted a rise traffic accidents involving e-bicyclists. Previous studies have been based on analyzing use, advantages and disadvantages e-bicycles, whereas only small focused e-bicycle safety, particularly factors leading to occurrence accidents. One affecting is incorrect perception speed by other participants. To examine mentione...

Existing regional travel forecasting systems are not typically set up to forecast usage of bicycle infrastructure and are insensitive to bicyclists' route preferences in general. We collected revealed preference, GPS data on 162 bicyclists over the course of several days and coded the resulting trips to a highly detailed bicycle network model. We then use these data to estimate bicyclist route ...

In recent years both pedestrian passive and active safety systems, such as pedestrian bonnets/airbags and autonomous braking, have emerged on the market and are estimated to be effective to reduce injury of vulnerable road users in car crashes. A natural next step is to develop similar protection systems for bicyclists. The aim of this study was to investigate the potential bicyclist head injur...

This paper evaluates the importance of factors affecting commuter bicyclists’ route choices. Both route-level (e.g., travel time) and link-level (e.g., pavement quality) factors are examined. Empirical models are estimated using data from a stated preference survey conducted by the authors over the Internet. The models indicate that, for commuter bicyclists, travel time is the most important fa...

This article introduces a new collision avoidance model enabling the design of efficient realistic virtual pedestrian and cyclist behaviors. It is a force-based model using collision prediction with dynamic time-windows to predict future potential collisions with obstacles and other individuals. It introduces a new type of force called sliding force to allow a smooth avoidance of potential coll...