Performance Measurement System (PeMS) is a freeway performance measurement system for all of California. It processes 2 GB/day 30-s loop detector data in real time to produce useful information. At any managers can have uniform, comprehensive assessment performance. Traffic engineers base their operational decisions on knowledge the current status network. Planners determine whether congestion bottlenecks be alleviated by improving operations or minor capital improvements. Travelers obtain...

Single-loop detectors provide the most abundant source of traffic data in California, but loop samples are often missing or invalid. A method is described that detects bad and imputes to form a complete grid clean data, real time. The diagnostics algorithm imputation implement this operational on 14,871 loops six districts California Department Transportation. (malfunctioning) single-loop from their volume occupancy measurements. Its novelty its use time series many samples, instead basing...

Statistics from a corridor along Interstate 5 in Los Angeles show that average travel time and travel-time variability are meaningful measures of freeway performance. Variability is an important measure service quality for travelers. Travel can be used to quantify the effect incidents, incident information help reduce uncertainty. Predictability benefits intelligent transportation systems. These differ those defined Highway Capacity Manual other aggregate delay.

An analytical model for real-time estimation of travel times along signalized arterials was developed. The application the on two arterial sites and comparisons estimated with simulated field data show that accurately predicts selected sites. In this article, we present several important extensions refinements to including treatment long queues queue spillovers, algorithms signal priority transit vehicles. We also describe integration into an archival management system continuous measurement...

This paper presents a person-based traffic responsive signal control system for transit priority (TSP) on conflicting routes. A mixed-integer nonlinear program (MINLP) is formulated, which minimizes the total person delay at an intersection while assigning to vehicles based their passenger occupancy. The mathematical formulation marks improvement previous formulations by ensuring global optimality undersaturated conditions and design characteristics that lead convex objective functions in...

Control strategies for transit priority have long been recognized as having the potential to improve traffic performance vehicles, which could also lead improved schedule reliability, reduced operating costs, and greater ridership. However, there relatively few successful implementations of measures on urban networks with signalized intersections in coordinated signal systems. Existing control are reviewed, major factors affecting identified, formulation both passive active arterials signals...

A methodology and its application to measure total, recurrent, nonrecurrent (incident related) delay on urban freeways are described. The used data from loop detectors calculated the average probability distribution of delays. Application two real-life freeway corridors in Los Angeles, California, one San Francisco, Bay Area, indicated that reliable measurement congestion also should provide measures uncertainty congestion. In three applications, incident-related was found be 13% 30% total...

The past few years have seen a rapid evolution in the sophistication of traffic microsimulation models and consequent major expansion their use transportation engineering planning practice. Researchers practitioners employed an extensive array approaches to calibrate these selected wide range parameters broad acceptance criteria. A methodical, top-down approach model calibration is outlined; it focuses initial effort on key that greatest impact performance then proceeds less critical...

The freeway performance measurement system (PeMS) is a for all of California. It processes 2 gigabytes/day 30-s loop detector data in real time to produce useful information. Managers at any can have uniform and comprehensive assessment performance. Traffic engineers base their operational decisions on knowledge the current state network. Planners determine whether congestion bottlenecks be alleviated by improving operations or minor capital improvements. Travelers obtain shortest route...

The algorithm presented identifies bottleneck locations, the times for which each is active, and delay they cause. bottlenecks are ranked in terms of their frequency recurrence magnitude impact. works with 5-min loop detector data. It uses speed difference as an indicator activation. applied to 3 months data from 270 mi seven freeways San Diego. 160 locations whose cause 64% total on these freeways. top 10 account 61% all bottlenecks. method can be used any area large amounts available....

Speed-flow relationships have been established for different free-flow speeds on urban freeways. However, there few research efforts relating real-time traffic flow parameters and weather conditions levels of heavy vehicle traffic. This study aims at establishing between speed volume in freeway sections using Remote Traffic Microwave Sensor (RTMS) data as a function conditions. Historical RTMS detector (i.e., speed) from two highway corridors the Istanbul metropolitan area are used this...

Transit signal priority (TSP) is a control strategy that has been used extensively to improve transit operations in urban networks. However, several issues related TSP deployment—including the effect of on auto traffic and provision vehicles traveling conflicting directions at signals—have not yet addressed satisfactorily by existing systems. This paper presents real-time, traffic-responsive system for routes also minimizes negative effects traffic. The proposed determines settings minimize...

We propose a methodology for identifying queue spillovers in city street networks with signalized intersections using data from conventional surveillance systems, such as counts and occupancy loop detectors. The key idea of the proposed is that when downstream link block vehicle departures upstream signal line, queues discharge at rates smaller than saturation flow. application on an arterial site comparison field show it consistently identifies urban signal-controlled intersections. method...

Connected Automated Vehicles (CAVs) bring promise of increasing traffic capacity and energy efficiency by forming platoons with short headways on the road. However at low CAV penetration, gain will be small because CAVs that randomly enter road sparsely distributed, diminishing probability long platoons. Many researchers propose to solve this issue platoon organization strategies, where search for other change lanes if necessary form longer However, current literature does not analyze a...

Several microscopic traffic flow models were tested with a publicly available data set. The task was to predict the travel times between several observers along one-lane rural road, given as boundary conditions into this road and out of it. By using nonlinear optimization, best matching set parameters for each estimated. For particular set, that performed ones smallest number parameters. average error rate is about 16%; however, value not very reliable: fluctuates 2.5% 25% different parts

Existing simulation models have difficulty in accurately modeling oversaturated traffic conditions on freeways. A new behavioral algorithm for freeway flow can be used microscopic models; it was developed as part of the Next Generation Simulation (NGSIM) project, sponsored by FHWA. The proposed is an integrated car-following and lane-changing framework that consistent with kinematic wave theory. explicitly model mandatory discretionary lane changing, including cooperation during changing. As...

Traffic simulation, a tool for recreating real-life traffic scenarios, acts as an important platform in transportation research. Considering the growing complexity of urban mobility, various large-scale regional simulators are designed and used research applications. Calibration is key issue simulation: it finds optimal system pattern to decrease gap between simulator output real data, making much more reliable. This paper proposes DRBO, calibration framework simulators. combines travel...