Two-Level Full Factorial Design Approach for the Analysis of Multi-Lane Highway Section under Saturated and Unsaturated Traffic Flow Conditions

Oversaturation of highways occurs due to their inadequate assessment and design. In this paper, we propose both a mathematical queuing model Discrete-Event Simulation (DES) framework based on Newell’s triangular flow-density relationship for the performance analysis multi-lane highway section. The proposed is finite capacity system, which captures an increase in flow with vehicle density up section unsaturated condition decrease case saturated condition, depicting actual traffic conditions First, Birth–Death Process used build (BDP), average number vehicles (average queue length) blocking probability are estimated. Then, accuracy verified by DES framework. “significance effects” different design factors evaluated using two-level full factorial technique. experimental results reveals that length lanes most significant affecting probability, while jam only has effect does not affect probability. two-way interaction, combined “length-lanes” significantly affects length. end, multiple-factor linear regression also developed prediction factors.