查看文章

The implementation of automated vehicle technology in urban environment is inevitable. The report is a contribution to the quantification of the impacts of this implementation. The research described in this report uses VISSIM to (1) model driving behavior of automated vehicles within an urban network,(2) model parking behavior of automated vehicles for different parking configurations in an abstract model, and (3) apply the modelled behavior to a case study in Manhattan, New York. After extracting results of the traffic flow of networks with different parking configurations, the results are compared directly and using a cost-benefit analysis. For example, the travel time is found to increase by up to 15% because of vehicles stopping curbside. If drop-off infrastructure were to be provided, this value is found to be only between 0-5%. The net value of providing this new infrastructure is found to be 1’043 USD per hour for a scenario of a demand being 100% of the capacity of a 2-lane road in a fully automated fleet. Even though the research is of proof-of-concept value, it shows that transport policy-makers, urban planners and infrastructure managers are challenged with a transformation in vehicle stopping behavior that must be addressed.