For the most part, optimal signal timing is the most effective and economical method for mitigating traffic congestion in urban areas. In this study, a new mixed integer nonlinear programming model is proposed to develop an optimal arterial-based progression algorithm. The proposed algorithm is designed to optimize the bandwidths for contiguous signals along a signalized arterial. The traffic conditions for examining the proposed algorithm are extracted from moderate to high saturated traffic conditions. The main objective of the proposed algorithm is to allow traffic to traverse through the maximum number of downstream intersections without a stop. According to measures of effectiveness (MOEs) acquired by TSIS-CORSIM 6, the signal timing generated by the proposed model yields lower stops (%) when compared with the signal timing optimized and generated by Synchro. In addition, the proposed model yields lower network-wide average delays (sec/veh) and higher average travel speeds (km/h) under moderate to high saturated traffic conditions. The performance and applicability of the proposed model have been validated.
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Lin et al. (2009) studied this question.
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