Traffic congestion is a serious challenge in urban areas. So, to address this challenge, the
intelligent traffic management system (ITMS) is used to manage traffic on road networks …

Recently, different techniques have been applied to detect, predict, and reduce traffic
congestion to improve the quality of transportation system services. Deep learning (DL) is …

Urban settlements often deal with the massive transportation problems caused by mixed
land-use development and improper travel services. This situation propels travel …

Accurate indoor positioning is crucial for many location-based services, but GPS accuracy is
significantly reduced due to issues such as signal penetration and accuracy in indoor …

Sustainable urban road planning necessitates the formulation of functional, economic,
people-friendly, eco-friendly, and engineering-reasonable road schemes within the confines …

Accurate short-term traffic flow prediction is a prerequisite for achieving an intelligent
transportation system to proactively alleviate traffic congestion. Considering the complex …

In this paper, the well-known Ford-Fulkerson algorithm in graph theory is used to determine
the maximum flow in a road traffic network. Road traffic congestion is a major urban transport …

The widespread growth of electric vehicles could pose significant grid and charging
infrastructure challenges, especially in areas with underdeveloped infrastructure. This has …

基于使用GPS 数据的传统方法存在数据共享的高障碍性和无法覆盖到道路上所有车辆等问题,
提出了一种卡口数据驱动的车辆轨迹重构方法. 通过一个可以学习的嵌入表达将车辆轨迹数据中 …

With the rapid economic development, the scale of cities has expanded, the population of
cities has increased, the number of motor vehicles has increased, the contradiction between …