The Journal of Engineering | |
Mitigating gas emissions at signalised intersections using wireless vehicle detectors | |
Jack Asare1  Daniel M.O. Adjin2  Moses Kwasi Torkudzor3  | |
[1] DaovTech Design Group; | |
[2] Ghana Technology University College; | |
[3] Koforidua Polytechnic; | |
关键词: road vehicles; road traffic control; wireless sensor networks; fuel economy; energy conservation; air pollution control; optimisation; traffic congestion; gas emission mitigation; fuel consumption reduction; environmental protection; energy conservation; fuel economy; wireless sensor network; signalized intersection optimisation; vehicular traffic control model; wireless vehicle detector; Synchro7; delay; | |
DOI : 10.1049/joe.2015.0059 | |
来源: DOAJ |
【 摘 要 】
Traffic congestion on roads wastes travel times and increases fuel consumption as well as gas emissions which are dangerous to human health. This has led to growing concern about environmental protection and energy conservation and a number of studies to increase fuel economy and reduce gas emissions. To increase travel times so as to reduce fuel consumption and gas emissions, traffic signals at intersections must be well implemented. It is therefore necessary to employ the current technology of wireless sensor networks to enhance the optimisation of the signalised intersections so as to address such a concern. In this study, a vehicular traffic control model was developed to optimise a signalised intersection, using wireless vehicle detectors. Real-time traffic volume gathered were analysed to obtain the peak hour traffic volume causing congestion. The intersection was modelled and simulated in Synchro7 as an actuated signalised model using results from the analysed data. The model for morning peak and evening peak periods gave optimal cycle lengths which result in the reduction of gas emissions, fuel consumption and delay at the intersection.
【 授权许可】
Unknown