The study aims to help transportation agencies in improving emergency preparedness for their highway networks to receive possible emergency evacuation traffic. The research investigates the effectiveness of traffic control and management strategies including intelligent transportation systems (ITS) and contra-flow operations based on an assumed scenario in which evacuation traffic from southeastern Louisiana pours into the Greater Jackson Metropolitan area of Mississippi by interstate highway I-55 NB due to an approaching hurricane disaster. This study adopts the dynamic traffic assignment based mesoscopic traffic-network planning and simulation model DYNASMART-P and applies the model to a highway network on the route of the evacuation traffic. Although most studies focus on traffic problems near the disastrous area, this study investigates effective strategies of managing traffic at the evacuation destination. These emergency evacuations caused significant congestions in the disastrous area, along the evacuation routes, and at the evacuation destinations. The section also plays a pivotal role in helping to meet the data collection and reporting required by the FHWA’s Highway Performance Monitoring System (HPMS) on all federal-aid roads.Emergency evacuations arising from hurricane disasters in the Gulf Coast region have aroused increasing attention of transportation agencies. The data is also used to drive decisions being made by other MDOT divisions, Michigan State Police, the Transportation Asset Management Council, and local agencies. The data collected is provided to the Federal Highway Administration (FHWA) on a monthly and annual basis.
Traffic data collection consists of short-term counts/studies, year-round data from the continuous count sites, and special studies. MS2’s NMDS allows state and local planners to analyze daily, monthly and annual non-motorized volumes as well as identify the highest bicycle and pedestrian ADTs along trails, roads and sidewalks.įrom MDOT’s announcement: “The Data Collection and Reporting Section at MDOT collects, analyzes, summarizes, reports, and retains detailed traffic data and travel information for 36,000 miles of federal-aid roads in Michigan, with additional reporting requirements for the 83,000 miles of local roads. Walking and the use of bicycles have increased in the state of Michigan.
Mdot traffic count data software#
We have also integrated our software with ESRI’s Roads and Highways software which will enable MDOT to manage geometric and volume changes along road segments throughout the state.
The HPMS module will assist MDOT in reporting traffic data to the Federal Highway Administration. The MDOT TDMS will be one of the most complete datasets of any of our users. Some of the modules within TDMS include: Traffic Count, Turning Movement Count, Non-Motorized, Highway Performance and Traffic Crash. (AASHTO) Annual Average Daily Traffic (AADT) The total volume of traffic on a highway segment for one year, divided by the number of days in the year. TDMS is a software solution developed by MS2 that offers a variety of modules to receive, process and analyze traffic related data. Adjusted Count - An estimate of a traffic statistic calculated from a base traffic count that has been adjusted by application of axle, seasonal, or other defined factors. The Michigan Department of Transportation (MDOT) today publicly rolled out its new Transportation Data Management System (TDMS).
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