Zhibin Li, Seongchae Ahn, Koohong Chung, David R. Ragland et al.
This study presents a surrogate safety measure for evaluating the rear-end collision risk related to kinematic waves near freeway recurrent bottlenecks using aggregated traffic data from ordinary loop detectors. The attributes of kinematic waves that accompany rear-end collisions and the traffic con...
Sami Kabir, Raihan Ul Islam, Mohammad Shahadat Hossain, Karl Andersson
Sensor data are gaining increasing global attention due to the advent of Internet of Things (IoT). Reasoning is applied on such sensor data in order to compute prediction. Generating a health warning that is based on prediction of atmospheric pollution, planning timely evacuation of people from vuln...
Adnan Bin Faiz, Ahmed Imteaj, Mahfuzulhoq Chowdhury
Vehicle accident is the paramount thread for the people's life which causes a serious wound or even dead. The automotive companies have made lots of progress in alleviating this thread, but still the probability of detrimental effect due to an accident is not reduced. Infringement of spFieed is one ...
Shams Forruque Ahmed, Sweety Angela Kuldeep, Sabiha Jannat Rafa, Javeria Fazal et al.
To improve forecasting accuracy and capture intricate interactions within transportation networks, information fusion approaches are crucial for traffic predictions based on graph neural networks (GNNs). GNNs offer a potentially effective framework for capturing intricate patterns and interactions a...
Iqbal H. Sarker
Artificial Intelligence (AI) is a leading technology of the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and intelligence into machines or systems. Thus AI-based modeling is the key to building automated, intelligent, and ...
Taqi Tahmid, Eklas Hossain
As the problem of urban traffic congestion intensifies, there is a pressing need for the introduction of advanced technology and equipment to improve the state-of-the-art of traffic control. The current methods used such as timers or human control are proved to be inferior to alleviate this crisis. ...
Gazi Mahabubul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, Yutaka Watanobe et al.
The transportation industry contributes significantly to climate change through carbon dioxide ( $$\hbox {CO}_{2}$$ ) emissions, intensifying global warming and leading to more frequent and severe weather phenomena such as flooding, drought, heat waves, glacier melting, and rising sea levels. This s...
Pan Liu, Xu Qu, Hao Yu, Wei Wang et al.
The simulation of U-turns is currently of great interest to many transportation professionals due to the widespread use of indirect driveway left-turn treatments. In this study, a procedure was proposed to help transportation professionals model U-turn movements at unsignalized intersections with no...
Moshe Ben‐Akiva, Haris N. Koutsopoulos, Tomer Toledo, Qi Yang et al.
Ishteaque Alam, Dewan Md. Farid, Rosaldo J. F. Rossetti
Jianhua Guo, Zhao Liu, Wei Huang, Yun Wei et al.
Short‐term traffic flow forecasting has been regarded as essential for intelligent transportation systems, including both point prediction and interval prediction. Compared with point prediction, interval prediction of traffic flow in the future will be critical for traffic managers to make reasonab...
Md. Taufiqul Haque Khan Tusar, Md. Touhidul Islam
Today's business ecosystem has become very competitive. Customer satisfaction has become a major focus for business growth. Business organizations are spending a lot of money and human resources on various strategies to understand and fulfill their customer's needs. But, because of defective manual ...
Promila Ghosh, Amit Kumar Mondal, Sajib Chatterjee, Mehedi Masud et al.
Sunflower is a crop that has many economic values and ornamental usages. However, its production can be hampered due to various diseases such as downy mildew, gray mold, and leaf scars, and it is challenging for farmers to identify disease-prone conditions with traditional approaches. Thus, a comput...
Yanyan Qin, Hao Wang
Understanding the string stability of connected and autonomous (CA) vehicles is important for evaluating dynamics of regular-CA mixed vehicular flow. Although previous studies proposed CA car-following models and analysed the stability of the model itself, they do not focus on the stability of the r...
De Zhao, Wei Wang, Chenyang Li, Zhibin Li et al.
The primary objective of this study was to use the cellular automata (CA) method to model the characteristics of bicycle passing events in mixed bicycle traffic on separated bicycle paths. The mixed traffic was composed of two types of bicycles: the conventional bicycle (c-bicycle) and the electric ...