Ticon developed an analytical tool to identify traffic congestion hotspots and prioritize mobility improvement efforts based on their impact on the overall urban transportation network.
To download the file, please
Log inTicon improved the accuracy of its AADT estimation compared to last year, achieving 80.7% accuracy with 90% confidence based on data collected over one year in 15-minute intervals for 50 sites.
To download the file, please
Log inThe findings of the study offer practical guidance for analysts, commercial real estate professionals, transportation agencies, and planners seeking accurate and reliable AADT estimates. Ticon analyzed 695 traffic counting points and evaluated the accuracy and limitations of AADT estimates derived from DOTs, mobile data providers, and commercial traffic analytics companies—including Ticon, StreetLight Data, and StreetLytics.
To download the file, please
Log inThe article presents a novel methodology developed by Ticon for achieving highly accurate and granular AADT estimations, enhancing site selection in retail and maximizing mobility improvement efforts.
To download the file, please
Log inTicon helps retailers optimize staff scheduling, manage inventory load effectively, and detect the reasons for store underperformance.
To download the file, please
Log inA new methodology for a comprehensive trade area assessment is developed, covering beyond the Immediate Trade Area and the Extended Trade Area – Passing Traffic. It enables: (a) identifying customer profile within the passing traffic flow; (b) determining the trade area and the size of the target audience.
To download the file, please
Log inTicon develops accurate visit forecast estimation. The paper (a) analyzes the correlation between visits and ADT volumes for 88 convenience store & gast station locations; (b) reveals the number of factors shaping visitation patterns; (c) develops accurate visit forecast estimation.
To download the file, please
Log inThe new tool enables: (a) reducing the error in assessing customer demographic parameters by up to 30% through the analysis of passing traffic characteristics; (b) preventing a situation where more than 15% of the target audience falls into a blind spot.
To download the file, please
Log inTicon’s traffic volume estimation methodology reduces AADT estimation errors by up to 56.9% compared to dual-source traffic volume estiumates from DOT counters and mobile data providers available on the U.S. market
To download the file, please
Log inTicon’s traffic volume estimation methodology reduces AADT estimation errors by up to 56.9% compared to dual-source traffic volume estimates from DOT counters and mobile data providers available on the U.S. market
To download the file, please
Log inTicon developed an affordable mobility improvement solution for municipalities, achieving travel delay reductions ranging from 15% to 70%. This is achieved through high-quality optimization of the traffic signal management that considers not only actual traffic volumes in conflicting directions, but also technical and topological essentials of the intersections, as well as the regional specifics of driver behavior.
To download the file, please
Log inMunicipalities can now objectively assess and control the quality of traffic signal optimization efforts. TrafficScopeTM helps prevent the "expectation vs. reality" situations highlighted in the study using the example of Atlanta, GA, where the promised reduction in congestion fell short by 76%.
To download the file, please
Log inThe study is based on a two-year observation of traffic flows across 126 road sections in 9 states. It reveals that a significant decrease in traffic demand (by 30% or more) does not necessarily lead to a substantial reduction in delays on signal-controlled roads. This means that traffic restriction strategies are ineffective.
To download the file, please
Log inThis article provides professional guidance on traffic data proper collection, interpretation, and cross-verification.
To download the file, please
Log inTicon develops a methodology for estimating AADT in 15-minute intervals nationwide, for effective retail staffing-scheduling, inventory management, and better customer experience. The case study assesses the accuracy of Ticon’s methodology, showing a median average percentage error of 4.78% and a relative root mean square error of 11.97%.
To download the file, please
Log in