The efficacy of current path planning methods in anintelligent navigation system is
compromised by poor self-adaptability and large errors in Big Data environments, because …

Traffic congestion has been one of the major problems in our everyday life. It has caused
billions and billions of dollars including loss of productivity in our everyday life. Many …

Emerging automotive engineering solutions extensively rely on navigation tools. Shortest
path evaluation is core competency of optimal path planning, one of the most critical …

Traditional path planning method only consider the shortest path, as a result the planning
paths may not be the best path if there is a congestion occurred in the planning path. This …

This paper proposes and designs a best path selection algorithm, which can solve the
problem of path planning for intelligent driving vehicles in the case of restricted driving, traffic …

Abstract Intelligent Transportation System (ITS) is created in the context of the full
development and progress of contemporary science and technology, aiming to help people …

Vehicle driving path planning is an important information service in intelligent transportation
systems. As an important basis for path planning optimization, the travel time prediction …

E-commerce businesses have enjoyed drastic growth in sales numbers; subsequently,
logistics businesses, who stands at the end of this commercial chain, have been receiving a …

Optimizing travel time on a multi-lane highway with dynamically changing traffic density
poses a 2-dimensional path optimization challenge. The temporal evolution of traffic density …

The effect of traffic flow prediction plays an important role in routing selection. Traditional
traffic flow forecasting methods mainly include linear, nonlinear, neural network, and Time …