Simulation analysis of urban network performance under link disruptions: Impacts of information provisions in different street configurations

This study uses aggregated network-level operation metrics to examine the performance of three street network configurations, namely two-way (TW), two-way without left turns (TWL), and one-way networks (OW), under disruptive events in the network. Overall, a TWL network is found to be the most efficient both with and without disruptions. When there is no disruption, a TWL network shows a comparable trip completion rate as a TW network with turn pockets at intersection. Although the mean travel distance in the TWL network is about 30% higher than the TW network, its mean trip time is only 16% higher due to lower intersection delays. When disruptions take place, only TWL network is found to accommodate the most challenging ones in the central area due to its higher intersection efficiency and more evenly distributed traffic inside. The study also examined the impacts of various ITS-related strategies to provide drivers with advanced information on the disruption to mitigate its negative effects. The results revealed that providing information on disruptions that occur outside the most congested areas when vehicles start their trip might actually reduce overall network performance, since doing so may cause vehicles to reroute through heavily congested areas. For disruptions in the central region of the network, alerting drivers just one or two blocks upstream of the disruption can achieve similar delay reductions to broadcasting the disruption to 75% of road users.

Automated summary

This study examines the performance of three street network configurations under disruptive events using aggregated network-level operation metrics. The results show that a two-way network without left turns is the most efficient configuration, able to handle the most challenging disruptions. Additionally, providing advance information to drivers about disruptions may have negative effects on overall network performance.