Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …

We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

Self-driving vehicles are a maturing technology with the potential to reshape mobility by
enhancing the safety, accessibility, efficiency, and convenience of automotive transportation …

We survey recent advances in algorithms for route planning in transportation networks. For
road networks, we show that one can compute driving directions in milliseconds or less even …

An effective path planning or route planning algorithm is essential for guiding unmanned
surface vehicles (USVs) between way points or along a trajectory. The A* algorithm is one of …

Distributed processing of large-scale graph data has many practical applications and has
been widely studied. In recent years, a lot of distributed graph processing frameworks and …

Wide deployment of global positioning system (GPS) sensors has generated a large amount
of data with numerous applications in transportation research. Due to the observation error …

Routing services on the web and on hand-held devices have become ubiquitous in the past
couple of years. Websites like Bing or Google Maps allow users to find routes between …

Map-matching is the process of aligning a sequence of observed user positions with the
road network on a digital map. It is a fundamental pre-processing step for many applications …