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RISMarkov-Based Time Series Modeling Framework for Traffic-Network State Prediction under Various External Conditions
Publisher: ASCE
Abstract: In this paper, a Markov-based time series model (MTSM) framework is developed to predict traffic network conditions by integrating archived and real-time data under various external conditions, including weather, work ...
Quality of Private Sector Travel-Time Data on Arterials
Publisher: American Society of Civil Engineers
Abstract: Accurate traffic state information is essential for both travelers and transportation agencies. In the past, traffic condition data were usually collected by a government agency using its own sensors. Recently, a number ...
Quality of Private Sector Travel-Time Data on Arterials
Publisher: American Society of Civil Engineers
Abstract: Accurate traffic state information is essential for both travelers and transportation agencies. In the past, traffic condition data were usually collected by a government agency using its own sensors. Recently, a number ...
Examining the Impact of Adverse Weather on Urban Rail Transit Facilities on the Basis of Fault Tree Analysis and Fuzzy Synthetic Evaluation
Publisher: American Society of Civil Engineers
Abstract: The increasingly frequent extreme weather disasters caused by global climate change have attracted more attention to adverse weather’s effect on infrastructure systems. This paper aims to establish an integrated approach ...
Field Evaluations of an Adaptive Traffic Signal—Using Private-Sector Probe Data
Publisher: American Society of Civil Engineers
Abstract: This study evaluated the in-service performance of the InSync adaptive signal control (ASC) system utilizing field data collected from the private sector travel time vendor INRIX. A total of six corridors in Virginia were ...
Field Evaluations of an Adaptive Traffic Signal—Using Private-Sector Probe Data
Publisher: American Society of Civil Engineers
Abstract: This study evaluated the in-service performance of the InSync adaptive signal control (ASC) system utilizing field data collected from the private sector travel time vendor INRIX. A total of six corridors in Virginia were ...
<i>Highway Capacity Manual</i> Capacity Adjustment Factor Development for Connected and Automated Traffic at Signalized Intersections
Publisher: ASCE
Abstract: Connected and automated vehicles (CAVs) will potentially improve transportation system performance. Guidance on the capacity impact of CAVs at different market penetration rates (MPRs) will help agencies to incorporate the ...
Developing Highway Capacity Manual Capacity Adjustment Factors for Connected and Automated Traffic on Roundabouts
Publisher: ASCE
Abstract: Connected and automated vehicles (CAVs) are expected to transform future transportation systems. Over time, these vehicles might enhance traffic efficiency and safety, especially at urban intersections. Therefore, it is ...
Estimation of Crash Modification Factors for an Adaptive Traffic-Signal Control System
Publisher: American Society of Civil Engineers
Abstract: Adaptive traffic-signal control (ATSC) is a traffic management strategy in which traffic-signal timings change, or adapt, based on observed traffic demand. Although ATSC can improve mobility, it also has the potential to ...
Empirical Analysis of a Freeway Bundled Connected-and-Automated Vehicle Application Using Experimental Data
Publisher: ASCE
Abstract: Connected-and-automated vehicles (CAV) hold the potential for substantial improvements to traffic safety, travel time reliability, driver comfort, roadway capacity, environmental impacts, and users’ overall travel experience. ...