The increase in private car usage in cities has led to limited knowledge and uncertainty
about traffic flow. This results in difficulties in addressing traffic congestion. This study …

In the past decades, traffic problems has become a major research field of both academic
and industrial community. In this paper, we propose a Self-Adaptive Navigation System …

This paper proposes a self-adaptive interactive navigation tool (SAINT), which is tailored for
cloud-based vehicular traffic optimization in road networks. The legacy navigation systems …

Road-traffic congestion is becoming a serious concern in developing countries and impacts
the economy of countries gravely. Increasing congestion on urban roads presents a genuine …

Currently, one of the main challenges that large metropolitan areas must face is traffic
congestion. To address this problem, it becomes necessary to implement an efficient …

Real-time path planning can efficiently relieve traffic congestion in urban scenarios.
However, how to design an efficient path-planning algorithm to achieve a globally optimal …

Vehicular traffic congestion is a significant problem that arises in many cities. This is due to
the increasing number of vehicles that are driving on city roads of limited capacity. The …

This paper introduces a new scheme for road traffic management in smart cities, aimed at
reducing road traffic congestion. The scheme is based on a combination of searching …

The innovative route navigation system is designed to provide better accuracy in finding the
optimal routes for efficient navigation. By leveraging real-time traffic data and incorporating a …

Road traffic congestion is a major issue in most mega cities. The traffic jams are often
exacerbated by drivers habitually following the same routes. A real-time, optimum vehicle …