Optimization of system performance in congested traffic networks is one of the main goals of intelligent transportation systems. A formulation and solution algorithm for the combined signal control and dynamic traffic assignment problem is presented. The solution algorithm is implemented and tested on an actual network, illustrating the benefits that could be attained through joint optimization of signal control and route guidance decisions.
Purpose
This paper aims to survey students and faculty from the College of Engineering at an American university in the United Arab Emirates about their perception on different issues related to academic dishonesty. Opinions were sought on plagiarism, inappropriate collaboration, cheating on exams, copyright violations and complicity in academic dishonesty. Reasons for students to commit dishonest acts and ways to reduce academic misconduct were also included.
Design/methodology/approach
A survey involving 11 questions with multiple choice answers was developed and distributed to engineering students and faculty at the institution to get their perception of the considered issues.
Findings
Results of the study showed that while faculty and students were generally in agreement in their perception of the frequency of academic dishonesty among students, they greatly differed on the courses of action needed to reduce them. Most faculty members favored applying tougher penalties and using more proctors in exams. On the other hand, students preferred softer approaches such as educating them on academic integrity issues, applying lenient deadlines for assignments and reducing the difficulty of exams.
Research limitations/implications
The conclusions and recommendations of the study are applicable to colleges of higher education having similar characteristics and culture to the surveyed institution.
Practical implications
The findings can be used to understand students’ behavior and faculty’s attitude toward academic dishonesty, and to assess the effectiveness of current strategies addressing the issue at similar universities in the region.
Originality/value
The conducted literature review indicated that this work is believed to be a pioneering case study in the Gulf Cooperation Council countries.
As the number of automobiles increases, the task of providing parking lots to accommodate more vehicles becomes very difficult and challenging. The design of parking lots needs more attention in order to have efficient and safe design. The capacity of a parking lot depends on many factors such as the parking angle. Choosing the most efficient parking angle is not an easy task since it varies with many factors such as the geometry and the circulation inside the parking lot. In this study, Integer Linear Programming (ILP)is used to determine the optimal parking angle. Different cases are formulated considering different layouts and dimensions in order to choose the parking angle which will provide the maximum number of spaces. Furthermore, the LINDO software is utilized to find out the optimal parking angle for each given area. The results showed thatLinear Programmingresulted in an enhanced the parking design since it allows for different combinations between the parking angles within the same parking facility. For future work, the formulation can be modified to suite irregular shapes within parking areas.
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