A Dynamic Route-Exchanging Mechanism for Anticipatory Traffic Management

2014 ◽  
pp. 286-293
Author(s):  
Ryo Kanaomori ◽  
Takayuki Ito
Keyword(s):  
Traffic Management ◽  
Dynamic Route

Applying Map Databases to Advanced Navigation and Driver Assistance Systems

2001 ◽  
Vol 54 (3) ◽  
pp. 355-363 ◽  
Author(s):  
J. Martin Rowell
Keyword(s):  
North America ◽  
Traffic Management ◽  
Routing Algorithms ◽  
Route Guidance ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Floating Car Data ◽  
Road Capacity ◽  
Assistance Systems ◽  
Dynamic Route

Navigation map databases have evolved during the last 10 years in coverage, content and accuracy to such a degree that they are being used (and considered) for applications beyond vehicle navigation. For a number of advanced driver assistance systems (ADAS) in Europe and North America, the navigation maps are being enhanced to offer new functions. This will complement dynamic route guidance, with location referencing, descriptions of delays, floating car data and re-routeing, all requiring developments in traffic management, road capacity balancing and routing algorithms.

scholarly journals Day-to-Day Traffic Assignment Model considering Information Fusion and Dynamic Route Adjustment Ratio

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Manman Li ◽  
Jian Lu ◽  
Jiahui Sun
Keyword(s):  
Fixed Point ◽  
Traffic Management ◽  
Traffic Assignment ◽  
Influence Factors ◽  
Traffic Information ◽  
Assignment Model ◽  
Double Exponential ◽  
The Difference ◽  
Double Exponential Smoothing ◽  
Dynamic Route

A new day-to-day traffic assignment model is proposed to describe travelers’ day-to-day behavioral changes with advanced traffic information system. In the model, travelers’ perception is updated by a double exponential-smoothing learning process combining experience and traffic information that is explicitly modelled. Route adjustment ratio is dynamically determined by the difference between perceived and expected utilities. Through theoretical analyses, we investigate the existence of its fixed point and the influence factors of uniqueness of the fixed point. An iterative-based algorithm that can solve the fixed point is also given. Numerical experiments are then conducted to investigate effects of several main parameters on its convergence, which provides insights for traffic management. In addition, we compare the system efficiencies under the static route adjustment ratio and dynamic route adjustment ratio and show the application of the model.

Integrated Agent-Based Travel Behavior and Dynamic Traffic Microsimulation for Ramp-Metering Analysis

2017 ◽  
Vol 2665 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Chenfeng Xiong ◽  
Yixuan Pan ◽  
Minha Lee ◽  
Zheng Zhu ◽  
Lei Zhang
Keyword(s):  
Travel Behavior ◽  
Traffic Management ◽  
Local Area ◽  
Ramp Metering ◽  
Modeling Framework ◽  
Traffic Dynamics ◽  
Research Attention ◽  
Agent Based ◽  
Traffic Conditions ◽  
Dynamic Route

Ramp-metering control has long been an effective strategy in active traffic management and integrated corridor management and has received increased research attention in recent decades. Although most existing studies analyze ramp metering at the corridor level and in the context of traffic conditions and effects, how travelers respond to ramp-metering control often is neglected. This neglect is partially because of the lack of behavioral data. More important, a comprehensive modeling framework that models travel behavior and traffic dynamics for the evaluation of ramp-metering control is not readily available. This paper develops an integrated agent-based microsimulation to model travel behavior and traffic dynamics and applies the modeling approach to dynamic ramp-metering control. Minute-by-minute control of the ramp-metering rate not only encourages dynamic route changes but also can lead to day-to-day travel behavior adjustments because of the significant effect of ramp metering on traffic conditions in the affected freeway main line and the local area. A real-world application in Maryland demonstrates the model, showcases the behaviorally rich en route diversion and departure time responses to ramp-metering control, and assesses the corridor-level and regional traffic effects.

Safety Culture and Safety-Relevant Behavior in Air Traffic Management

2015 ◽  
Vol 5 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Michaela Schwarz ◽  
K. Wolfgang Kallus
Keyword(s):  
Safety Culture ◽  
Traffic Management ◽  
Service Providers ◽  
Five Factor Model ◽  
Principal Component ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Psychometric Validation ◽  
Safety Attitudes ◽  
Culture Development

Since 2010, air navigation service providers have been mandated to implement a positive and proactive safety culture based on shared beliefs, assumptions, and values regarding safety. This mandate raised the need to develop and validate a concept and tools to assess the level of safety culture in organizations. An initial set of 40 safety culture questions based on eight themes underwent psychometric validation. Principal component analysis was applied to data from 282 air traffic management staff, producing a five-factor model of informed culture, reporting and learning culture, just culture, and flexible culture, as well as management’s safety attitudes. This five-factor solution was validated across two different occupational groups and assessment dates (construct validity). Criterion validity was partly achieved by predicting safety-relevant behavior on the job through three out of five safety culture scores. Results indicated a nonlinear relationship with safety culture scales. Overall the proposed concept proved reliable and valid with respect to safety culture development, providing a robust foundation for managers, safety experts, and operational and safety researchers to measure and further improve the level of safety culture within the air traffic management context.

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