scholarly journals AN IMPROVED BUS SIGNAL PRIORITY MODEL FOR ARTERIAL ROADS

Author(s):  
Tran Vu TU ◽  
Kazushi SANO ◽  
Hiroaki NISHIUCHI
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Bin-bin Hao ◽  
Bin Lv ◽  
Qixiang Chen

This paper focuses on the optimization of bus signal priority with the consideration of the stochastic traffic demand. Based on a situation of the variability of traffic composition, the phase clearance reliability (PCR) value of each phase and traffic composition ratio is introduced to reflect the traffic condition at intersection. Then, a bus signal priority optimization model is proposed with the purpose of the maximum of the total vehicular departure as the optimization goal. In order to obtain the optimal solution, an improved algorithm is designed by introducing the PCR value search strategy. Finally, two cases’ study is exhibited to demonstrate the reasonability of the model, theory, and algorithm. The result shows that the model can not only clear the queue under the condition of continuous dynamic traffic flow but also reduce the vehicle queuing and passenger delay.


2021 ◽  
Author(s):  
Raffale Chianese ◽  
Luca Cicala ◽  
Cesario Vincenzo Angelino ◽  
Francesco Gargiulo ◽  
Davide Matarazzo

Author(s):  
Bo Zhang ◽  
Qing Wang ◽  
Fen Liu ◽  
Lu Kang
Keyword(s):  

Author(s):  
Oladayo O. Olakanmi ◽  
Oluyemi Adetoyi ◽  
Oluwafemi Fajemisin

Abstract Despite the benefits of demand response in energy management, the non-existence of its key concepts; dynamic pricing and smart grid, in some countries makes its impracticable in these countries, therefore making energy management unattainable for their consumers. This paper proposed a Smart Distribution Board (SDB) using a priority model for energy management in non-smart grid network. An historical consumption signatures of user’s loads were used to develop a priority model for load units of the SDB. Performance comparison was carried out between the SDB and a conventional Distribution Board which has no level of intelligence. Results obtained indicated that the SDB correctly emulated the energy usage pattern of users, thereby ensuring load preference is maximally satisfied autonomously within a limited budgeted energy and period.


2019 ◽  
Vol 20 (4) ◽  
pp. 1269-1277 ◽  
Author(s):  
Long Tien Truong ◽  
Graham Currie ◽  
Mark Wallace ◽  
Chris De Gruyter ◽  
Kun An

Author(s):  
Laila Alrajhi ◽  
Ahmed Alamri ◽  
Filipe Dwan Pereira ◽  
Alexandra I. Cristea
Keyword(s):  

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