An automated evaluation method for bicycling environments
Language: English Publication details: Linköping : Statens väg- och transportforskningsinstitut, 2018Description: 1 sSubject(s): Online resources: Summary: Traffic surveillance and monitoring systems are the backbone of advanced traffic management and information systems. To date, these systems have focused on vehicular traffic. As a result, transportation systems have been advanced significantly for automobiles. However, less effort has been devoted to monitoring bicycle traffic in a more intelligent way, even though the bicycle is an important human-powered transport mode used to increase the sustainability of transportation systems due to its environmentally-friendly and emission-free characteristics. To increase the use of bicycles, it is fundamental to assess bicyclistâs perception of roadway environment, safety and comfort This study developed a novel methodology for evaluating bicycling environments based on the analysis of bicycle maneuvering data obtained from instrumented probe bicycles. In addition, how to integrate the proposed methodology in public bicycle-sharing systems is discussed to fully exploit the benefits of the proposed methodology in practice.Traffic surveillance and monitoring systems are the backbone of advanced traffic management and information systems. To date, these systems have focused on vehicular traffic. As a result, transportation systems have been advanced significantly for automobiles. However, less effort has been devoted to monitoring bicycle traffic in a more intelligent way, even though the bicycle is an important human-powered transport mode used to increase the sustainability of transportation systems due to its environmentally-friendly and emission-free characteristics. To increase the use of bicycles, it is fundamental to assess bicyclistâs perception of roadway environment, safety and comfort This study developed a novel methodology for evaluating bicycling environments based on the analysis of bicycle maneuvering data obtained from instrumented probe bicycles. In addition, how to integrate the proposed methodology in public bicycle-sharing systems is discussed to fully exploit the benefits of the proposed methodology in practice.