A Bayesian Stochastic Kriging Optimization Model Dealing with Heteroscedastic Simulation Noise for Freeway Traffic Management

2019 ◽  
Vol 53 (2) ◽  
pp. 545-565 ◽  
Author(s):  
Xiqun (Michael) Chen ◽  
Xiang He ◽  
Chenfeng Xiong ◽  
Zheng Zhu ◽  
Lei Zhang
Keyword(s):  
Optimization Model ◽  
Traffic Management ◽  
Freeway Traffic ◽  
Stochastic Kriging

Freeway Traffic Management Strategy Expert Systems

1994 ◽  
Vol 27 (12) ◽  
pp. 317-321
Author(s):  
Edmond Chin-Ping Chang ◽  
K.K. Ho
Keyword(s):  
Expert Systems ◽  
Traffic Management ◽  
Management Strategy ◽  
Freeway Traffic

Freeway Traffic Management and Control

2009 ◽  
pp. 3943-3964 ◽  
Author(s):  
A. Hegyi ◽  
T. Bellemans ◽  
B. De Schutter
Keyword(s):  
Traffic Management ◽  
Freeway Traffic ◽  
And Control

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.

Freeway Traffic Management in Presence of Vehicle Automation and Communication Systems (VACS)

2015 ◽  
pp. 205-214 ◽  
Author(s):  
Markos Papageorgiou ◽  
Christina Diakaki ◽  
Ioannis Nikolos ◽  
Ioannis Ntousakis ◽  
Ioannis Papamichail ◽  
...  
Keyword(s):  
Traffic Management ◽  
Communication Systems ◽  
Freeway Traffic ◽  
Vehicle Automation

scholarly journals Arterial Offset Optimization Considering the Delay and Emission of Platoon: A Case Study in Beijing

2019 ◽  
Vol 11 (14) ◽  
pp. 3882 ◽  
Author(s):  
Shenzhen Ding ◽  
Xumei Chen ◽  
Lei Yu ◽  
Xu Wang
Keyword(s):  
Optimization Model ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Coordinated Control ◽  
Exhaust Emissions ◽  
Primary Objective ◽  
Hierarchical Method ◽  
Smooth Flow ◽  
Relaxation Coefficient ◽  
Urban Arterial

The effective setting of offsets between intersections on arterial roads can greatly reduce the travel time of vehicles through intersections. However, coordinated control systems of urban arterial roads often do not achieve the desired effect. On the contrary, they are very likely to increase the traffic congestion on arterial roads, resulting in more delays of the platoon with more exhaust emissions, if the coordinated control system does not have effective settings. Meanwhile, taking into account increasing environmental pollution, measures are needed to solve the conflict between environmental and traffic management. Thus, in order to ensure the smooth flow of urban arterial roads while considering the environment, this paper develops a bi-objective offset optimization model, with reducing delays of the platoon on arterial roads as the primary objective, and reducing exhaust emissions as the secondary objective. The proposed bi-objective model is based on the division of platoon operating modes on arterial roads, and more pollutant types, including NOx, HC, and CO, are considered when measuring environmental impact. Further, the modified hierarchical method, combining the branch and bound approach with the introductions of a relaxation coefficient, is employed to solve the model. By introducing a relaxation coefficient, the modified hierarchical method overcomes the defects of the traditional one. Finally, Xi Dajie Road in Beijing was taken as an example. The results showed that the bi-objective offset optimization model, considering both the delays and emissions of the platoon reduced delays by up to 20% and emissions by 7% compared with the existing timing plan. If compared with the offset optimization model considering delays only, such a model increases delays no more than 3% and reduces emissions by 6%.

scholarly journals Evaluation of Freeway Traffic Management and Control Measures Based on SUMO

2021 ◽  
Vol 1910 (1) ◽  
pp. 012044
Author(s):  
Fujian Wang ◽  
Yixiao Lu ◽  
Hongliang Dai ◽  
Haihang Han
Keyword(s):  
Traffic Management ◽  
Control Measures ◽  
Freeway Traffic ◽  
And Control
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