Resilience of Traffic Networks with Partially Controlled Routing
For transportation network operators, the paper highlights that I2V-based routing, while beneficial, introduces vulnerabilities that must be managed for reliable infrastructure operation.
This paper proposes a real-time optimization mechanism using I2V communication to reduce network congestion, quantifying travel time improvements based on driver compliance. It finds that fluctuations in driver trust can cause link failures, revealing new fragilities from I2V use.
This paper investigates the use of Infrastructure-To-Vehicle (I2V) communication to generate routing suggestions for drivers in transportation systems, with the goal of optimizing a measure of overall network congestion. We define link-wise levels of trust to tolerate the non-cooperative behavior of part of the driver population, and we propose a real-time optimization mechanism that adapts to the instantaneous network conditions and to sudden changes in the levels of trust. Our framework allows us to quantify the improvement in travel time in relation to the degree at which drivers follow the routing suggestions. We then study the resilience of the system, measured as the smallest change in routing choices that results in roads reaching their maximum capacity. Interestingly, our findings suggest that fluctuations in the extent to which drivers follow the provided routing suggestions can cause failures of certain links. These results imply that the benefits of using Infrastructure-To-Vehicle communication come at the cost of new fragilities, that should be appropriately addressed in order to guarantee the reliable operation of the infrastructure.