Algorithm for the Planning of Optimum Highway Work Zones

Hajdin, Rade; Lindenmann, Hans Peter

doi:10.1061/(asce)1076-0342(2007)13:3(202)

Cited by 25 publications

(8 citation statements)

References 3 publications

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“…Then again, these studies focus only on a single project with no optimisation of treatment timing or type and no true life cycle. Hajdin and Lindenmann (2007) consider multiple projects based on a graph model of the network. M&R treatments on pavement sections and other road assets (bridges, tunnels) are grouped into larger work zones which minimise longterm costs, subject to budget constraints.…”

Section: Optimisation Of Work Zonesmentioning

confidence: 99%

Optimisation of pavement maintenance and rehabilitation activities, timing and work zones for short survey sections and multiple distress types

Donev

Hoffmann

2018

International Journal of Pavement Engineering

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Section: Optimisation Of Work Zonesmentioning

confidence: 99%

Optimisation of pavement maintenance and rehabilitation activities, timing and work zones for short survey sections and multiple distress types

Donev

Hoffmann

2018

International Journal of Pavement Engineering

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“…With the implementation of a sequential minimal optimization algorithm [26] and performing an exhaustive search [27,28], the SVM model is developed.…”

Section: Methodsmentioning

confidence: 99%

Predicting Freeway Work Zone Delays and Costs with a Hybrid Machine-Learning Model

Du¹,

Chien

Lee

et al. 2017

Journal of Advanced Transportation

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A hybrid machine-learning model, integrating an artificial neural network (ANN) and a support vector machine (SVM) model, is developed to predict spatiotemporal delays, subject to road geometry, number of lane closures, and work zone duration in different periods of a day and in the days of a week. The model is very user friendly, allowing the least inputs from the users. With that the delays caused by a work zone on any location of a New Jersey freeway can be predicted. To this end, tremendous amounts of data from different sources were collected to establish the relationship between the model inputs and outputs. A comparative analysis was conducted, and results indicate that the proposed model outperforms others in terms of the least root mean square error (RMSE). The proposed hybrid model can be used to calculate contractor penalty in terms of cost overruns as well as incentive reward schedule in case of early work competition. Additionally, it can assist work zone planners in determining the best start and end times of a work zone for developing and evaluating traffic mitigation and management plans.

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“…The various hierarchical stages of risk ratings and rankings, ranging from expert ratings or from visual data (Akgul and Frangopol, 2004) to testing (Pakrashi et al, 2012), deterministic assessment and semi-probabilistic and probabilistic assessment (O'Brien et al, 2003) have already been investigated. It is important to synthesise such information in cross-asset management, as well as using contemporary methods to plan and minimise the effect intervention options have on the road user (Hajdin & Lindenmann, 2007). This paper first investigates the formats in which information is collected for infrastructure networks within the European Union (EU) to recognise cross-asset interdependencies and impact of selected measures and activities related to operational experiences.…”

Section: Introductionmentioning

confidence: 99%

Cross-asset management for road infrastructure networks

Weninger‐Vycudil¹,

O’Connor²,

Hanley³

et al. 2015

Proceedings of the ICE - Transport

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Limitation of resources and variations of interest or priority of different stakeholders of road infrastructure networks often lead to multiple considerations of intervention options. It is of interest to identify the best available intervention or investment option under a multi-criteria framework. Markers of performance may be varied and the approach towards maintenance management may have different philosophies based on specific organisational structures of governance. This paper presents a methodology for cross-asset management that caters to different maintenance management systems without modification. Optimisation approaches and effective implementation methods are identified. Practical implementation guidelines of the developed framework are illustrated.

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Algorithm for the Planning of Optimum Highway Work Zones

Cited by 25 publications

References 3 publications

Optimisation of pavement maintenance and rehabilitation activities, timing and work zones for short survey sections and multiple distress types

Optimisation of pavement maintenance and rehabilitation activities, timing and work zones for short survey sections and multiple distress types

Predicting Freeway Work Zone Delays and Costs with a Hybrid Machine-Learning Model

Cross-asset management for road infrastructure networks

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