Nowadays, with advanced information technologies deployed citywide, large data volumes
and powerful computational resources are intelligentizing modern city development. As an …

Abstract Ant Colony Optimization (ACO) algorithms have been widely employed for solving
optimization problems. Their ability to find optimal solutions depends heavily on the …

Route planning and navigation systems have played an increasingly important role in our
society and have a growing impact on transportation systems. The current system takes the …

The main objective of this study is to solve the problem of recommending door-to-door space–
time paths in an intercity multimodal transport network. The available modes include railway …

One of the most important challenges in shared mobility services (eg, ride-sharing and
parcel delivery) is planning routes for workers by considering real road conditions. To tackle …

Querying the shortest path between two locations is a fundamental task in many
applications, and has been extensively studied for static road networks. However, in reality …

Abstract The Apache Flink distributed computing system demonstrates significant
advantages in iterative computing. Establishing appropriate parallelism for operators is …

The new computing model, mixed batch-stream data processing, plays a crucial role in big
spatiotemporal data managements. As the core of the above computing method, mixed …

The generation and defense of text adversarial samples are crucial for improving the
robustness and security of SIoT systems, as the exchange of information between devices in …

Skyline path queries (SPQs) extend skyline queries to multi-dimensional networks, such as
multi-cost road networks (MCRNs). Such queries return a set of non-dominated paths …