DOI: 10.25338/b8qd04
title: 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

description: 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.
description: The input data consists of the corridor structure and the traffic
 demand data: The traffic demand data is
 obtained based on the public database from PeMS. Details can be found
 in http://pems.dot.ca.gov/. The road network is
 constructed and modified by netedit. A 10-mile-long freeway section of
 Interstate-80 Eastbound, with 6 junctions across the city of Davis, CA is
 selected to evaluate our VSL control strategies. This section has a series
 of recurrent bottlenecks and severe congestion occurs almost every day in
 the afternoon peak hours. These multiple bottlenecks are all “critical”
 along the path. Junction 70 is interconnected with SR-113, another freeway
 from the north. It introduces heavy merging traffic without metering. A
 vast lane drop from 6 to 3 lanes exists between Junction 71 and 72. With
 saturated mainline flow and extra ramp demand at Junction 75 and 78, the
 downstream traffic flow is sensitive to breakdown even with ramp metering
 activated in peak hours. Details can be found
 in https://sumo.dlr.de/docs/netedit.html. 
 The output data is generated through the SUMO simulation. In this
 simulation, traffic control interface(TraCI) uses a TCP based
 client/server architecture to build connection with sumo, which is
 accessible to retrieve values of vehicles and detectors and then construct
 the VSL control models to get simulation results analysis. Details can be
 found in https://sumo.dlr.de/docs/TraCI.html.
description: Input Data: vsl_I-80.net.xml:
 Definition of the 10-mile-long freeway section of Interstate-80 Eastbound
 network file connecting the city of Davis and West Sacrameto in
 California vsl_I-80.additionals.xml: Definition of
 induction loop detectors to capture the vehicle data in every simulation
 step vsl_I-80.flow.xml: Definition of 5 hours'
 traffic demand data(OD pairs) with three typical demand sets(light, medium
 and heavy) vsl_I-80.rou.xml: Vehicle routes and trip
 information using shortest path computation via duarouter
 function vsl_I-80.sumocfg.xml: Configuration file
 glues input files and makes it executable by SUMO 
 Output Data: emissions_no_vsl.xml:
 The output which contains aggregated travel time, fuel consumption and
 pollutants without control strategy
 emissions_static.xml: Output based on the flow-based control
 strategy emissions_lqr.xml: Output based on
 the density-based LQR control strategy