Traffic Congestion: Shift from Private Car to Public Transportation

Abdulrazzaq, Layth Riyadh; Abdulkareem, Mohammed Basil; Yazid, Muhamad Razuhanafi Mat; Borhan, Muhamad Nazri; Mahdi, Mina Salah

doi:10.28991/cej-2020-03091566

Cited by 53 publications

(25 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While these devices dramatically improved traffic congestion, they did not achieve any successful improvement to avoid or mitigate the occurrences due to accidents (Retallack and Ostendorf 2019). Besides, over-speed automobile traffic collisions seem to have more occurrences, with other local organizations' participation, including people, motorcycle riders, or other cars (Abdulrazzaq et al 2020).…”

mentioning

confidence: 97%

RETRACTED ARTICLE: Internet of vehicles and autonomous systems with AI for medical things

2021

View full text Add to dashboard Cite

The current world faces a considerable traffic rate on roads due to the increase in various types of vehicles. It caused emergency vehicles to delay and increasing the patients' health risk factor. Internet of vehicle-based artificial neural network (IoV-ANN) has been proposed for effective health autonomous system in medical things. The proposed IoV-ANN provides a secure network to monitor and track the vehicle's motion using the global positioning system. It consists of an autonomous system which is enabled with an artificial neural network (ANN). ANN model has three layers. First layers collect the data using IoV sensors. Second or hidden layers process the sensor data, predict the road's traffic condition and reroute the emergency vehicle to an exact route. IoV-ANN helps to reduce road congestion in this article to enhance the timely functioning of an emergency vehicle. ANN categorizes the congestion networks of traffic. Traffic restrictions such as changing the queue gap in the road signals and the alternative roads are altered automatically due to congestion. It allows the government to develop ideas for alternate routes to enhance traffic control. The output layer gives commands to the driver autonomously. The simulation analysis of the proposed method proved that the system could work independently. The IoV-ANN achieves the highest performance rate of (97.89%), with a reduced error rate (9.12%) traffic congestion rate (10.31%), travel period (32 s), vehicle detection rate (93.61%), classification accuracy (95.02%), MAPE (8.4%), throughput rate (93.50%) when compared to other popular methods.Keywords Internet of vehicles Á Artificial neural network Á Hidden layer Á Global positioning system Á Emergency Á Autonomous system Á Vehicle motion Á IoV sensors Communicated by Vicente Garcia Diaz.

show abstract

mentioning

confidence: 97%

RETRACTED ARTICLE: Internet of vehicles and autonomous systems with AI for medical things

2021

View full text Add to dashboard Cite

show abstract

“…Walkability is also a central concept in T.O.D. (Transit-Oriented Development) policies as walking accessibility is crucial for high-performance public transport in urban areas of high density [ 28 – 30 ]…”

Section: Literature Reviewmentioning

confidence: 99%

Factors influencing walking trips. Evidence from Gdynia, Poland

2021

View full text Add to dashboard Cite

Political support for active mobility is growing for many reasons, including land use planning, health, and improved mobility. As the vital part of many cities is their central area, decision-makers need to know what factors are essential for increasing walkability. This paper aims to identify the main factors affecting the walkability of the city centre of Gdynia (Poland). To achieve this, the research design was adjusted to the specificity of the local use case. Based on primary data collected via personal interviews, factor analysis was applied to rule out potential collinearity and reduce dimensions. Logistic regression models were then constructed. The results were compared with the research carried out in other cities. The results show that only two of the analysed factors are significant, namely accessibility and safety. Both are extensive categories and include many subcomponents that are influential among different groups of citizens. Our research also confirms that walkability is a city-specific issue that is influenced by many local factors.

show abstract

“…Globally, anthropogenic air pollution has been an important issue of concern for many years due to its adverse effects on plants, animals, environment and human health. Continuous increase in the level of air pollution emission has been reported to be the consequence of increasing population, industrialization, density of traffic, and space heating (Benaissa et al, 2019;Coskun et al, 2011;Edokpolo et al, 2015;Odekanle et al, 2017;Riyadh et al, 2020). Recently, due to continuous increase in crude oil production in the Niger Delta of Nigeria, emission of various gaseous hydrocarbons has become worrisome and called for urgent attention.…”

Section: Introductionmentioning

confidence: 99%