Estimating the Effect of Operational Improvements in the Houston Area

1996 ◽  
Vol 1564 (1) ◽  
pp. 30-39 ◽  
Author(s):  
David L. Schrank ◽  
Timothy J. Lomax
Keyword(s):  
Traffic Management ◽  
Transportation System ◽  
Commercial Vehicles ◽  
Index Method ◽  
Freeway Traffic ◽  
Congestion Cost ◽  
Traffic Management System ◽  
Travel Delay ◽  
High Occupancy Vehicle Lanes ◽  
Congestion Index

Measuring the effects of transportation system improvements has long been a challenge. Two estimates—the congestion index method and the travel delay method—are used to produce a range of possible benefits resulting from the implementation of transportation projects and programs. The congestion index method uses the roadway congestion index (RCI), and its relationship with congestion cost per capita, to estimate the benefit derived from operational improvements. The RCI provides an areawide assessment of congestion based on freeway and principal arterial street system daily vehicle kilometers of travel per lane kilometer data. The travel delay method calculates congestion cost by associating the value of time, cost of fuel, and cost of operating commercial vehicles with travel delay estimates. These two methods are used to estimate the effects of three types of transportation system improvement projects/programs—freeway traffic management system, high-occupancy vehicle lanes, and regional computerized traffic signal system— implemented on the freeway and principal arterial street system in Houston, Texas. Although only three operational projects/programs are discussed, it is possible to effectively evaluate the implementation of many other improvements using this methodology.

scholarly journals IOT Based Traffic Management System

2021 ◽  
pp. 184-187
Author(s):  
Shashank S ◽  
Kiran P ◽  
Nischay D ◽  
Vinay Kumar M ◽  
B R Vatsala ◽  
...  
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Transportation System ◽  
Raspberry Pi ◽  
Urban Residents ◽  
System Of Cities ◽  
Traffic Management System ◽  
Global Population

In 2014, 54% of the total global population was urban residents. The prediction was a growth of nearly 2% each year until 2020 leading to more pressure on the transportation system of cities. Cities should be making their streets run smarter instead of just making them bigger or building more roads. This leads to the proposed system which will use a Raspberry pi and Camera for tracking the number of vehicles leading to time-based monitoring of the system.

An overview of a simulation study of the Highway 401 freeway traffic management system

1994 ◽  
Vol 21 (3) ◽  
pp. 439-454 ◽  
Author(s):  
Bruce Hellinga ◽  
Michel Van Aerde
Keyword(s):  
Simulation Model ◽  
Traffic Management ◽  
Management System ◽  
Model Calibration ◽  
Traffic Simulation ◽  
Time Of Day ◽  
Calibration Model ◽  
Integration Model ◽  
Freeway Traffic ◽  
Traffic Management System

This paper discusses the application of the network traffic simulation model INTEGRATION to a 35-km section of Highway 401 in Toronto, Canada. Results for the eastbound direction from 4 a.m. to 12 noon are presented. Existing freeway conditions are quantified using data from the COMPASS freeway traffic management system and from a floating car travel time survey. Variations that exist in observed link flows and trip travel durations over time of day and day of week are examined. The extent to which COMPASS data meets the data requirements of the INTEGRATION model is examined. Since the current COMPASS system encompassed less than 50% of the network analyzed, complications arise in accurately estimating the prevailing time-varying origin–destination demands, as well as in comprehensively validating the simulation model's results. The present level of model calibration results in a correlation coefficient of estimated and observed link flows of 97.23%. This level of discrepancy is generally within the natural day-to-day variations that are inherent within the system. However, travel times estimated by the simulation model tend to be underestimated, particularly for the express lanes. Further model calibration, to improve the model's results, is deferred until more of the network is covered by COMPASS. Key words: traffic simulation, COMPASS, model calibration, model validation, speed–flow relationship.

scholarly journals Сontrol of Intelligent Transport System in Minsk

2018 ◽  
Vol 17 (5) ◽  
pp. 401-412
Author(s):  
D. V. Kapskiy ◽  
D. V. Navoy ◽  
P. A. Pegin
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Management System ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Design System ◽  
Intelligent Transport System ◽  
Traffic Management System

The paper considers algorithms for searching a maximum traffic volume of road vehicles in a traffic light cycle with a distributed intensity pulse and optimization of shifts under coordinated traffic flow control. Modeling of traffic flows have been made while using a computer program developed by the authors and it has made it possible to improve efficiency of traffic management by taking into account the distributed pulse of transport intensity. The paper proposes a model for minimizing total losses in road traffic during the integration of an incident control sub-system and route guidance for and an automatic road traffic management system as part of Minsk intelligent transportation system which has been studied as a tool for modeling a computer-aided design system "Backbone management". The model that minimizes vehicle delays, uses an algorithm implementing traffic flow intensity parameters depending on the time of day, days of the week. As a result of the simulation it has been revealed that the most effective parameter is an indicator of vehicle delays which does not always satisfy drivers trying to choose routes of their traffic which are based on a minimum transportation speed. However, from the point of view of managing an intelligent transportation system, it is necessary to choose parameters based on the requirements for minimizing delays on the road traffic network of the largest city in our country. All the proposed algorithms and models are used in the automatic traffic management system of Minsk city and will be used while creating an integrated intellectual transportation system of the city.

Safety Evaluation of Freeway Traffic Management System in Toronto, Canada

1996 ◽  
Vol 1553 (1) ◽  
pp. 110-114
Author(s):  
Bhagwant Persaud ◽  
Kornel Mucsi ◽  
Alex Ugge
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Regression Models ◽  
Safety Evaluation ◽  
Substantial Decrease ◽  
Model Parameters ◽  
Expected Number ◽  
Freeway Traffic ◽  
Traffic Management System ◽  
Safety Effect

A reduction in accidents, particularly secondary ones, is often cited as one of the primary benefits of a freeway traffic management system (FTMS) such as that implemented on a segment of Highway 401 in Toronto, Canada. The safety effect of this FTMS was estimated from the parameters of regression models calibrated for the preimplementation period (1989–1990) and the postimplementation period (1991–1992). Separate models were calibrated for express, collector, and conventional divided roadway sections and for rear-end, non-rear-end, and all injury accidents. For rear-end injury accidents, model parameters were estimated for day and night conditions. The aggregate results show a substantial decrease in the expected number of rear-end injury accidents on all three types of roadway following the implementation of the FTMS.

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