Group-based optimization of a time-dependent TRANSYT traffic model for area traffic control

The proliferation of traffic software programs on the market has resulted in many very specialized programs, intended to analyze one or two specific items within a transportation network. Consequently, traffic engineers use multiple programs on a single project, which ironically has resulted in new inefficiency for the traffic engineer. Most of these programs deal with the same core set of data, for example, physical roadway characteristics, traffic demand levels, and traffic control variables. However, most of these programs have their own formats for saving data files. Therefore, these programs cannot share information directly or communicate with each other because of incompatible data formats. Thus, the traffic engineer is faced with manually reentering common data from one program into another. In addition to inefficiency, this also creates additional opportunities for data entry errors. XML is catching on rapidly as a means for exchanging data between two systems or users who deal with the same data but in different formats. Specific vocabularies have been developed for statistics, mathematics, chemistry, and many other disciplines. The traffic model markup language (TMML) is introduced as a resource for traffic model data representation, storage, rendering, and exchange. TMML structure and vocabulary are described, and examples of their use are presented.

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Research of the changeability of the vessels traffic intensity of inland waterways – case study for Lower Vistula

SHS Web of Conferences ◽

10.1051/shsconf/20185801012 ◽

2018 ◽

Vol 58 ◽

pp. 01012

Author(s):

Patrycja Jerzyło ◽

Aleksandra Wawrzyńska

Keyword(s):

Control System ◽

Traffic Control ◽

Traffic Model ◽

Traffic Intensity ◽

Traffic Flows ◽

Inland Waterways ◽

Inland Waterway ◽

Traffic Control System ◽

Vistula Delta

The article presents an analysis of the changeability of traffic intensity of inland waterway vessels in the Vistula Delta. The concept of traffic intensity was defined, traffic flows and disturbances were identified in the studied area. The characteristics of the inland waterway traffic model are presented. The results of the analysis indicate the need to carry out modernization of inland waterways for the needs of inland waterway transport: introduction of a traffic control system, unification of the navigational marking system and strict correlation of renovation/modernization works of hydrotechnical structures with a navigation period.

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Introducing Offsets to the Virtual Phase-link Street Traffic Model for Arterial Traffic Control

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc45102.2020.9294414 ◽

2020 ◽

Author(s):

Qichao Wang ◽

Montasir Abbas

Keyword(s):

Traffic Control ◽

Traffic Model ◽

Arterial Traffic ◽

Street Traffic

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Method for the reliable shortest path search in time-dependent stochastic networks and its application to gis-based traffic control

Computer Optics ◽

10.18287/2412-6179-2016-40-2-275-283 ◽

2016 ◽

Vol 40 (2) ◽

pp. 275-283 ◽

Cited By ~ 12

Author(s):

A. A. Agafonov ◽

V. V. Myasnikov

Keyword(s):

Shortest Path ◽

Traffic Control ◽

Stochastic Networks ◽

Time Dependent ◽

Path Search ◽

Shortest Path Search

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Using Emerging and Extraordinary Data Sources to Improve Traffic Safety

10.5703/1288284317283 ◽

2021 ◽

Author(s):

Andrew P. Tarko ◽

Qiming Guo ◽

Raul Pineda-Mendez

Keyword(s):

Traffic Safety ◽

Traffic Control ◽

Management Practices ◽

Safety Management ◽

Rapid Development ◽

Management Program ◽

Time Dependent ◽

Data Sources ◽

Dependent Data ◽

Volume Data

The current safety management program in Indiana uses a method based on aggregate crash data for conditions averaged over several-year periods with consideration of only major roadway features. This approach does not analyze the risk of crashes potentially affected by time-dependent conditions such as traffic control, operations, weather and their interaction with road geometry. With the rapid development of data collection techniques, time-dependent data have emerged, some of which have become available for safety management. This project investigated the feasibility of using emerging and existing data sources to supplement the current safety management practices in Indiana and performed a comprehensive evaluation of the quality of the new data sources and their relevance to traffic safety analysis. In two case studies, time-dependent data were acquired and integrated to estimate their effects on the hourly probability of crash and its severity on two selected types of roads: (1) rural freeways and (2) signalized intersections. The results indicate a considerable connection between hourly traffic volume, average speeds, and weather conditions on the hourly probability of crash and its severity. Although some roadway geometric features were found to affect safety, the lack of turning volume data at intersections led to some counterintuitive results. Improvements have been identified to be implemented in the next phase of the project to eliminate these undesirable results.

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Intersection Redesign for Network Resilience and Safety

PROMET - Traffic&Transportation ◽

10.7307/ptt.v33i2.3554 ◽

2021 ◽

Vol 33 (2) ◽

pp. 297-308

Author(s):

Antonio Pratelli ◽

Pietro Leandri ◽

Rosaria Aiello ◽

Reginald Roy Souleyrette

Keyword(s):

Analytical Model ◽

Safety Assessment ◽

Time Dependent ◽

Traffic Model ◽

Network Resilience ◽

Average Delay ◽

Average Speed ◽

Resilience Index ◽

And Performance ◽

Over Time

This paper describes a procedure for improving the resilience of roadway networks. A methodology is outlined that develops a time-dependent and performance-based resilience index. This methodology was applied to an Italian road, with the aim of optimizing intersections that are critical due to inadequate baseline capacity. The methodology uses a calibrated microscopic traffic model (using Aimsun™) whereby average delay at intersection approaches are estimated by an analytical model. From the simulation, average speed over time is obtained for each approach. These values in turn are used as inputs for calculating each intersection’s resilience index. The procedure allows the identification of less resilient intersections, and provides design solutions for each of them. Lastly, a safety assessment is tested for one of the intersections.

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