Reliable, real-time prediction of delay and density is challenging as direct measurement of
these variables is difficult. Though studies yielding reasonably accurate predictions of delay …

Traffic congestion has become a significant problem that hinders the proper functioning of
the transportation system. Traffic congestion forewarning methods can provide traffic …

This paper analyzes the effect of GPS sampling interval on the performance of the
longitudinal dynamic model for estimating electric bus trip energy consumption based on …

围绕强化学习在自动驾驶领域的应用进行了多方面的概括和总结. 对强化学习原理及发展历程
进行了介绍; 系统介绍了自动驾驶技术体系以及强化学习在自动驾驶领域的应用所需的基础; …

As reported by the United Nations in 2021, road accidents cause 1.3 million deaths and 50
million injuries worldwide each year. Detecting traffic anomalies timely and taking immediate …

This study aims to propose a decision-making method based on artificial potential fields
(APFs) and finite state machines (FSMs) in emergency conditions. This study presents a …

Traffic speed prediction is an essential part of urban transportation systems that contributes
to minimizing the environmental pollution caused by vehicle emissions. The existing traffic …

Bus bunching has been a persistent issue in urban bus system since it first appeared, and it
remains a challenge not fully resolved. This phenomenon may reduce the operational …

Trajectory prediction is one of the core functions of the autonomous vehicle, it greatly affects
the rationality and safety of the decision-making module and the planning module. This is …

Traffic state prediction plays an important role in traffic management, eg, it can provide
travelers with accurate routing information to achieve a better travel experience. In this …