scholarly journals Highway Development and Capacity Utilisation in Ogun State, Nigeria

2020 ◽  
Vol 11 (1) ◽  
pp. 66-77
Author(s):  
Umar Obafemi Salisu ◽  
Olukayode O. Oyesiku ◽  
Bashir Olufemi Odufuwa
Keyword(s):  
Traffic Flow ◽  
Capacity Utilization ◽  
Traffic Volume ◽  
Utilization Rate ◽  
Capacity Utilisation ◽  
Ogun State ◽  
Efficient Performance ◽  
Periodic Maintenance ◽  
Improvement Measures ◽  
Flow Situation

AbstractHighway development in Nigeria pioneered other modes of transport including rail, air, water and pipeline. It serves as the most efficient means of distributing agricultural products, locally-made products and natural resources. As a result of this, highways requires adequate planning and periodic maintenance for effective and efficient performance. This study examined traffic situation and capacity utilisation of highways in Ogun State, Nigeria with particular reference to Lagos-Ibadan, Lagos-Abeokuta and Sagamu-Benin Highways. Manual traffic count method was employed for the estimation of traffic volume and flow pattern. The count took 12 hours a day for three consecutive days (Tuesday, Thursday and Saturday) of a week. The traffic data gathered were analyzed and interpreted using descriptive and inferential techniques to determine Average Daily Traffic Volume (ADTV), flow situation and capacity utilization rate of each highway through thorough observation of inbound and outbound traffic. Findings revealed significant variation in traffic flow situation observed on Tuesday, Thursday and Saturday of selected highways. Findings also revealed that Lagos-Ibadan Highway (2,085 vehicles/hour/lane) is well utilized while Abeokuta-Lagos and Sagamu-Benin Highways are underutilized with 820 and 1,184 vehicles/hour/lane respectively. Improvement measures and strategies to address traffic flow situation including route development and utilisation issues on the highways were proposed.

scholarly journals THE TRAFFIC VOLUME AND LEVEL OF SERVICE (LOS) OF UNIVERSITI PUTRA MALAYSIA (UPM) SERDANG CAMPUS MAIN ACCESS

2019 ◽  
Vol 17 ◽  
Author(s):  
Zakiah Ponrahono ◽  
Noorain Mohd Isa ◽  
Ahmad Zaharin Aris ◽  
Rosta Harun
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Level Of Service ◽  
Idle Mode ◽  
The Road ◽  
Road Capacity ◽  
Motorized Vehicles ◽  
University Setting

The inbound and outbound traffic flow characteristic of a campus is an important physical component of overall university setting. The traffic circulation generated may create indirect effects on the environment such as, disturbance to lecturetime when traffic congestion occurs during peak-hours, loss of natural environment and greenery, degradation of the visual environment by improper or illegal parking, air pollution from motorized vehicles either moving or in idle mode due to traffic congestion, noise pollution, energy consumption, land use arrangement and health effects on the community of Universiti Putra Malaysia (UPM) Serdang. A traffic volume and Level of Service (LOS) study is required to facilitate better accessibility and improves the road capacity within the campus area. The purpose of this paper is to highlight the traffic volume and Level of Service of the main access the UPM Serdang campus. A traffic survey was conducted over three (3) weekdays during an active semester to understand the traffic flow pattern. The findings on traffic flow during peak hours are highlighted. The conclusions of on-campus traffic flow patterns are also drawn.

Tolerable ranges of variation in the rate of capacity utilisation and corridor instability: a reply to Florian Botte

2019 ◽  
Author(s):  
Mark Setterfield
Keyword(s):  
Capacity Utilization ◽  
Normal Rate ◽  
Actual Rate ◽  
Capacity Utilisation ◽  
Long Run

AbstractThis reply to Botte (2019, Estimating normal rates of capacity utilization and their tolerable ranges: a comment on Mark Setterfield, Cambridge Journal of Economics, forthcoming) responds to criticisms of the methods used to estimate the normal rate of capacity utilisation and a tolerable interval of variation in the actual rate of capacity utilisation around the normal rate in Setterfield (2019a, Long-run variation in capacity utilization in the presence of a fixed normal rate, Cambridge Journal of Economics, vol. 43, no. 2, 443–63). It concludes with some further reflections on the concept of corridor instability.

scholarly journals Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact

2020 ◽  
Vol 2674 (4) ◽  
pp. 459-470 ◽  
Author(s):  
Ruimin Ke ◽  
Wan Li ◽  
Zhiyong Cui ◽  
Yinhai Wang
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Traffic Flow ◽  
Data Science ◽  
Prediction Models ◽  
Rapid Development ◽  
Traffic Volume ◽  
Speed Prediction ◽  
Traffic Speed ◽  
The Impact

Traffic speed prediction is a critically important component of intelligent transportation systems. Recently, with the rapid development of deep learning and transportation data science, a growing body of new traffic speed prediction models have been designed that achieved high accuracy and large-scale prediction. However, existing studies have two major limitations. First, they predict aggregated traffic speed rather than lane-level traffic speed; second, most studies ignore the impact of other traffic flow parameters in speed prediction. To address these issues, the authors propose a two-stream multi-channel convolutional neural network (TM-CNN) model for multi-lane traffic speed prediction considering traffic volume impact. In this model, the authors first introduce a new data conversion method that converts raw traffic speed data and volume data into spatial–temporal multi-channel matrices. Then the authors carefully design a two-stream deep neural network to effectively learn the features and correlations between individual lanes, in the spatial–temporal dimensions, and between speed and volume. Accordingly, a new loss function that considers the volume impact in speed prediction is developed. A case study using 1-year data validates the TM-CNN model and demonstrates its superiority. This paper contributes to two research areas: (1) traffic speed prediction, and (2) multi-lane traffic flow study.

SHORT TERM TRAFFIC FLOW PREDICTION IN HETEROGENEOUS CONDITION USING ARTIFICIAL NEURAL NETWORK

Transport ◽  
2013 ◽  
Vol 30 (4) ◽  
pp. 397-405 ◽  
Author(s):  
Kranti Kumar ◽  
Manoranjan Parida ◽  
Vinod Kumar Katiyar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Traffic Volume ◽  
Flow Data ◽  
Highway Traffic ◽  
Short Term ◽  
Artificial Neural ◽  
Input Variables

Traffic congestion is one of the main problems related to transportation in developed as well as developing countries. Traffic control systems are based on the idea to avoid traffic instabilities and to homogenize traffic flow in such a way that risk of accidents is minimized and traffic flow is maximized. There is a need to predict traffic flow data for advanced traffic management and traffic information systems, which aim to influence traveller behaviour, reducing traffic congestion and improving mobility. This study applies Artificial Neural Network for short term prediction of traffic volume using past traffic data. Besides traffic volume, speed and density, the model incorporates both time and the day of the week as input variables. Model has been validated using actual rural highway traffic flow data collected through field studies. Artificial Neural Network has produced good results in this study even though speeds of each category of vehicles were considered separately as input variables.

Research on a Battery Balancing Method for Lithium-Ion Battery Pack of Electric Vehicle

2014 ◽  
Vol 986-987 ◽  
pp. 1842-1845
Author(s):  
Yi Ning Chen ◽  
Yu Gui ◽  
Hong He
Keyword(s):  
Electric Vehicle ◽  
Topological Structure ◽  
Management System ◽  
Capacity Utilization ◽  
Lithium Ion ◽  
Battery Pack ◽  
Utilization Rate ◽  
Battery Management System ◽  
Battery Management ◽  
Key Technology

As the key technology of the electric vehicle, more and more research on battery management system has been done. And the balancing technology is the important part of battery management system. In this paper, a multi-inductor balancing method based on the Buck-Boost topological structure is used to improve batteries’ inconsistencies by obtaining parameters of the battery pack in real time. The proposed balancing method can improve batteries’ inconsistencies so as to increase the capacity utilization rate of the battery pack and prolong the battery lifespan. And in this paper a series of bench experiments were done to examine the effectiveness of the balancing method.

Development of the Straw Based Power Generation in China: A Critical Analysis

2014 ◽  
Vol 1070-1072 ◽  
pp. 85-90
Author(s):  
Hao Lv ◽  
Hao Ding ◽  
De Qun Zhou ◽  
Qin Zhang
Keyword(s):  
Power Generation ◽  
Capacity Utilization ◽  
Energy Utilization ◽  
High Rate ◽  
High Price ◽  
Maintenance Cost ◽  
Mature Stage ◽  
Utilization Rate ◽  
New Energy ◽  
Operation And Maintenance Cost

The straw-based power generation, as a mature new energy utilization method, has been widely used in different countries. In this paper, we review the development of the straw-based power generation in China and divide it into three stages, namely, research and experimental stage, rapid developing stage and mature stage. Based on the analysis, it is found out that the straw-based power generation in China is now faced with profit loss. The underlying reasons include the high price of straw fuel, high operation and maintenance cost, large investment, low capacity utilization rate and high rate of power consumption in the production. We also propose the managerial suggestions to address the problems.

Optimization of Signal Intersection with the Combination of VISSIM and SYNCHRO

2014 ◽  
Vol 988 ◽  
pp. 517-520
Author(s):  
Ying Chong Wang
Keyword(s):  
Traffic Flow ◽  
Signal Timing ◽  
Traffic Capacity ◽  
Improvement Measures ◽  
Simulation Results ◽  
Improvement Scheme

This paper take Xing Tan road and Wen Huiyuan Road intersection in Beijing for example, get the peak hour traffic flow of the intersection through investigation, and analyzed the causes which affected the traffic capacity of the intersection, put forward improvement measures. Then the SYNCHRO software was used for optimizing intersection signal timing, the VISSIM software was used for simulating the present and after implementing improvement scheme situations. The simulation results showed that the proposed scheme was effective.

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