Estimating the Effects of Operational Strategies on Travel-Time Reliability for Smart Mobility

Smart mobility is an essential element in building smart cities. To realize connected and automated smart mobility as a service, the capability to efficiently estimate the travel-Time reliability measures responding to various operating conditions is of critical importance. This paper presents a travel-Time reliability estimation system, which is applied to determine the effects of the operational changes on the travel-Time reliability. The application results to the metro freeway network in Minnesota indicate the substantial improvements in travel-Time reliability after the changes were introduced, indicating the possibility of modeling the causal relationship between reliability and specific operational strategies.