Currently, accurate traffic flow analysis and modeling are important key steps for intelligent
transportation system (ITS). Missing traffic flow data are one of the most critical issues in the …

Accurate forecasting of bus travel time and its uncertainty is critical to service quality and
operation of transit systems: it can help passengers make informed decisions on departure …

Given the unstable nature of the bus operations, the regularity of the bus services cannot be
maintained throughout the day. Especially in densely populated areas, the inherent …

To meet the growing demand of accurate and reliable travel time information in intelligent
transportation systems, this a develops a deep architecture incorporating contextual …

Congested roads are a global problem, and increased usage of private vehicles is one of
the main reasons for congestion. Public transit modes of travel are a sustainable and eco …

Travel time of traffic flow is the basis of traffic guidance. To improve the estimation accuracy,
a travel time estimation model based on Random Forests is proposed. 7 influence variables …

Transit service reliability is a measure of the quality of service offered by the public transit
systems. The nature and pattern of the travel time variability can be described by the travel …

Providing real-time arrival time information of the transit buses has become inevitable in
urban areas to improve the efficiency of the public transportation system. However, accurate …

Bus bunching resulting from initially small headway irregularities is a widely-known and
studied problem. A variety of headway-prediction approaches, as well as corrective …

Abstract Service area analysis is crucial for determining the accessibility of public facilities in
smart cities. However, the acquisition of service areas using conventional approaches has …