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.本项目旨在通过在多路段、多瓶颈的交通走廊中应用变速控制（Variable Speed Control, VSL）策略，降低燃油消耗与温室气体排放。本数据集由通过TraCI应用程序接口采集的SUMO微观交通仿真模型的输入与输出数据构成。SUMO是一款微观交通仿真平台，可依托指定路网对给定交通需求开展仿真模拟。具体而言，数据集的输入数据取自80号州际公路东行段10英里长高速公路路段的PeMS数据库中的车辆出行数据；输出数据则为采用不同最优限速的各类VSL策略所对应的聚合平均出行时间、燃油消耗与碳排放的仿真结果。