Optimal traffic calming: A mixed-integer bi-level programming model for locating sidewalks and crosswalks in a multimodal transportation network to maximize pedestrians’ safety and network usability

Rashidi, Eghbal; Parsafard, Mohsen; Medal, Hugh R.; Li, Xiaopeng

doi:10.1016/j.tre.2016.03.016

Cited by 17 publications

(6 citation statements)

References 46 publications

(61 reference statements)

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“…Since there are many methods of applied mathematics, one should choose among them those that take into account the specificity of the diagnostic database of the technical condition of vehicles. We can agree with the results reported in [8] on that the methods of fuzzy set theory are most suitable for this. But these methods require careful analysis and adaptation to a comprehensive assessment of the technical condition of vehicles.…”

Section: Literature Review and Problem Statementsupporting

confidence: 92%

Comprehensive assessment of technical condition of vehicles during operation based on Harrington’s desirability function

Aulin,

Rogovskii,

Lyashuk

et al. 2024

EEJET

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The object of research is the process of changing the technical condition of vehicles during their operation. The study solved the problem of comprehensive evaluation of change in the technical condition based on Harrington’s desirability function. The essence of the results is as follows. A scale of desirability was built and a set of criteria for assessing the technical condition of vehicles was clarified. A general desirability index is proposed as a convolution of partial Harrington desirability functions. When solving the investigated problem, the characteristics and properties of the partial and generalized Harrington’s desirability function and their graphical representation were taken into account. Using an example of the technical condition of the chassis and braking system of vehicles, a set of controlled parameters was formed. Based on the values of the controlled parameters, the regression equation of the partial Harrington desirability functions was obtained. The value of the weighting coefficients of each of the criteria was determined and the generalized desirability function was calculated. As a result of the study, it was established that if the generalized criterion of desirability is D<0.37, then individual nodes, systems, and units of the vehicle are in a pre-accident condition, if 0.37£D£0.63 – in a satisfactory condition, and if D>0.63 – in a good condition and cannot be the cause of a traffic accident. An applied aspect of the results is the implementation of the technique of comprehensive assessment of the technical condition of the vehicle. This causes an increase in the productivity of the expert (specialist), will shorten the period of the auto technical examination, and improve its quality. The results could be used by insurance companies and investigators, investigators and judges when considering traffic accidents

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Section: Literature Review and Problem Statementsupporting

confidence: 92%

Comprehensive assessment of technical condition of vehicles during operation based on Harrington’s desirability function

Aulin,

Rogovskii,

Lyashuk

et al. 2024

EEJET

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“…In more recent studies, Rashidi et al [43] developed a BLP model for the location of crosswalks in a multimodal transportation network to minimize the pedestrians' safety hazard and total transportation cost. They employed a greedy heuristic and a simulated annealing algorithm to solve the problem.…”

Section: Review Of the Literature On Bi-level Programming And Pricingmentioning

confidence: 99%

“…Third step: Eqs. (43) and (44) are added to the original model: 0 O2 s ij 0 t CapF it :pr 0 ij 0 t 8 i; j 0 ; t; s;…”

Section: Linearization Of the Objective Functionsmentioning

confidence: 99%

Benders Decomposition Algorithm for Robust Aggregate Production Planning Considering Pricing Decisions in Competitive Environment: A Case Study

Aazami

Saidi‐Mehrabad

2018

Scientia Iranica

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In operations research, bi-level programming is a mathematical modeling which has another optimization problem as a constraint. In the present research, regarding the current intense competition among large manufacturing companies for achieving a greater market share, a bi-level robust optimization model is developed as a leader-follower problem using Stackelberg game in the eld of Aggregate Production Planning (APP). The leader company with higher in uence intended to produce new products, which could replace the existing products. The follower companies, as rivals, were also seeking more sales, but they did not have the intention and ability to produce such new products. The price of the new products was determined by the presented elasticity relations between uncertain demand and price. After linearization, using the KKT conditions, the bi-level robust model was transformed into an ordinary uni-level model. Due to the NP-hard nature of the problem, Benders Decomposition Algorithm (BDA) was proposed for overcoming the computational complexities in large scale. Finally, using the real data of Sarvestan Sepahan Co as a leader company, the validity of the developed model as well as e ciency and convergence of the BDA was investigated. The computational results clearly showed the e ciency and e ectiveness of the proposed BDA.

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“…A conventional traffic assignment is adopted in the lower-level model, while the trip distribution is not considered. Rashidi et al [5] proposed a mixed-integer bilevel programming model for locating sidewalks and crosswalks to minimize network cost where a lack of safety is penalized with a dollar-value equivalent. In the upper level, the urban planners decide on the location of traffic calming facilities, and in the lower level, the travelers decide on the travel mode and route.…”

Section: Introductionmentioning

confidence: 99%

Active Safety Planning Method for Transportation Network Design

Lin

2021

Complexity

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Traffic accidents are frequent although various countermeasures are introduced. Traffic safety cannot be fundamentally improved if it is not considered in the transportation network design stage. Although it is well known that traffic safety is one of the most important concerns of the public, traffic safety is not adequately accommodated in transportation planning. This paper considers traffic safety as a major criterion in designing a transportation network. It is a kind of proactive measure rather than reactive measure. A bilevel programming model system is proposed where the upper level is the urban planners’ decision to minimize the estimated total number of traffic accidents, and the lower level is the travelers’ response behaviors to achieve transportation system equilibrium. A genetic algorithm (GA) with elite strategy is proposed to solve the bilevel model. The method of successive averages (MSA) is embedded for the lower level model, which is a feedback procedure between destination choice and traffic assignment. To demonstrate the effectiveness of the proposed method and algorithm, an experimental study is carried out. The results show that these methods can be a valuable tool to design a safer transportation network although efficiency, in terms of system total travel time, is slightly sacrificed.

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Optimal traffic calming: A mixed-integer bi-level programming model for locating sidewalks and crosswalks in a multimodal transportation network to maximize pedestrians’ safety and network usability

Cited by 17 publications

References 46 publications

Comprehensive assessment of technical condition of vehicles during operation based on Harrington’s desirability function

Comprehensive assessment of technical condition of vehicles during operation based on Harrington’s desirability function

Benders Decomposition Algorithm for Robust Aggregate Production Planning Considering Pricing Decisions in Competitive Environment: A Case Study

Active Safety Planning Method for Transportation Network Design

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