Noise is identified as a disturbance that could induce different behavioural responses. Its exposure for a long period of time has been an issue of concern. Increasing noise levels is not unusual especially with booming developments and innovations in the University environment. This study investigated noise pollution level (NPL) and its spatial distribution within the Campus of Federal University of Technology, Owerri Nigeria. A digital sound level meter-Extech 407730 was used to measure noise level at the sampling points namely, Student affairs unit, SEET head round-about, School park, Senate round-about and FUTO market designated as SP1,SP2,SP3,SP4 and SP5 respectively. A global positioning system (GPS)-NAVA 300 was used to record the GPS coordinates of the sampling noise hotspots in the university community. The Arc GIS software was used to assess the geospatial mapping and distribution of noise within the study areas. Results revealed that the noise levels in the school campus reached a peak of 75.7dB (A) in FUTO market on day 4 during the hours of 12pm – 1pm. Results of geospatial mapping of the noise level in the study area also revealed that noise level exceeds the maximum permissible limit ranging from 40dB(A) to 50dB(A). Therefore, it was recommended that public enlightenment programs such as workshops and seminars on the health hazards connected with noise pollution within the campus should be held regularly, also, control of noise through the use of sound proof doors, walls, and ceilings that can be installed while erecting buildings within the university community.
Amman city, the capital of Jordan has suffered from the impacts of highway mode of transportation. Traffic network management system aim to reduce traffic congestion, delay, fuel consumption, and air and noise pollution. Also, to improve the level of service (LOS) of the urban streets and intersections. This research paper is an engineering project management study; it is about improving traffic network management system in Al Shmesani district in Amman. It was conducted on a network of two main arterials with eight signalized intersections. They are Al Kindi street continued with Prince Shaker Bin Zaid street and Al Sharif Naser Bin Jamel street. The traffic data was collected from the government records at several departments in Amman Municipality and Directorate of Public Security. Highway Capacity Software HCS2000 and updated Synchro-8 programs software were used to evaluate the traffic conditions at each intersection for years 2012 and 2022. The evaluation shows that the intersections are operating at LOS F with high delay time and high saturation flow. Two alternatives were used to improve the traffic conditions. The first one is to change the existing timing plan of the traffic signal to optimize timing plan, this showed little improvement in traffic condition. The second alternatives are to modify the geometric conditions with changing and optimizing the timing plan of the signalized intersections. It showed good improving in the traffic conditions and saving in delay time and fuel consumption at the existing and the future conditions. The Level of Service LOS’s of the intersections were improved from LOS F to LOS C, D and E. It showed also the average overall saving in vehicle delay is about 87.75% and the saturation flow is improved at all intersections to less than one. The fuel consumption is also reduced with about 93%.
Keywords: Air Pollution, Delay, Fuel Consumption, Highway Mode of Transportation, Level of Service (LOS), Noise Pollution, Saturation Flow., Signalized Intersections, Traffic Congestion, Traffic Network Management System, Urban Streets