The new generation smart highways (NGSH) have emerged as irresistible trends to
enhance the efficiency and safety of transportation systems. An integral component of the …

To solve the increasingly serious traffic congestion and reduce traffic pressure, the
bidirectional long and short‐term memory (BiLSTM) algorithm is adopted to the traffic flow …

This study proposes a new adaptive traffic signal control scheme to effectively manage
dynamically fluctuating traffic flows through intersections. A spatial-temporal representation …

Congestion of traffic is a key problem faced in a majority of metro cities, especially in the
developing world. Traffic congestion comprises of queues, reduced speeds, and increased …

Recently, accurate and rapid prediction of traffic speed has become a research hotspot in
the current applied traffic field. Based on deep learning models, especially Long Short-Term …

The rapid growth in the number of vehicles has led to traffic congestion, pollution, and
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …

Smart city visions aim to offer citizens with intelligent services in various aspects of life. The
services envisioned have been significantly enhanced with the proliferation of Internet-of …

The technological landscape of intelligent transport systems (ITS) has been radically
transformed by the emergence of the big data streams generated by the Internet of Things …

Aiming at improving the operation of the bottleneck area of the highway in the environment
of a connected and automated vehicle, this paper proposes an integrated lane-level control …

Smart cities can effectively improve the quality of urban life. Intelligent Transportation System
(ITS) is an important part of smart cities. The accurate and real-time prediction of traffic flow …