A case study for the implementation of an integrated variable speed limit (VSL) control strategy in a freeway section of I-80 based on SUMO simulations

This project aims at reducing fuel consumption and greenhouse gas emission by applying variable speed control (VSL) strategies to the traffic corridors with multi-segment and multi-bottleneck. The dataset is composed of inputs and outputs of the SUMO simulation model via TraCI API. SUMO is a microscopic traffic simulation platform which allows to simulate a given traffic demand through a given network. Namely, the inputs consist of the vehicle trip data obtained from the PeMS database in a 10-mile long freeway section of Interstate-80 Eastbound where the outputs are simulation results of the aggregated average travel time, fuel consumption and carbon emissions under different VSL strategies with different optimal speed limit.