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Road network performance when a large disaster happens depends on how the road traffic is regulated. To evaluate the performance of the road network, one should consider the traffic regulation in an emergent condition. Authors have proposed the idea of area traffic regulation when a large disaster occurs (Iida, et al., 2000). In the former paper, a bi-level optimisation model to calculate the optimal regulation ratio is proposed. This paper proposes an efficient and fast method to calculate regulation ratios for two-stage road traffic regulation. The simplified model adopts linear programming method instead of bi-level optimisation method, which is quicker and simpler. The simpler algorithm contributes to conduct various kinds of case studies, and helps finding a reliability of the road network considering traffic regulations after a disaster.

Traffic accident on inter-city expressways might cause large-scale traffic congestion. It might increase travel times of many drivers and it produces a large social loss. This study aims to estimate the social loss of travel time of drivers caused by traffic accidents on inter-city expressway using traffic simulation model, and to evaluate the effects of outflow recommendations when an accident occurs on the expressway. The traffic simulation model on Tomei Expressway is constructed to estimate the dynamic traffic congestion. Travel time losses of drivers are estimated by the simulation results with hypothetical traffic accidents. It is understood that the total losses of travel times are depending on the positions of accident spots and the occurrence times of accidents, because it might influence to congestion at the bottlenecks of flow capacity. Moreover, the effect of traffic control in emergency situation is discussed. The influences of outflow recommendations for drivers are estimated using the traffic simulation model.

Purpose – This chapter examines the relationship between intersections of race and gender for vulnerability for human trafficking and criminalization of exploitation in the United States that is rooted in the broader socio-historical contexts dating to colonization and chattel enslavement.

Methodology/approach – This chapter utilizes intersectional criminology and historical intersectional criminology as epistemological frameworks to contextualize the construction of race and gender that began with colonization of indigenous populations to chattel enslavement of Africans and their descendants. Overall, this chapter’s approach is a call for contextualization within the study of human trafficking and an intersectional approach to understanding the structures that enable trafficking and the ramifications it has for victims.

Findings – Through an application of intersectional criminology, the findings herein demonstrate how racial ideologies and legacies within the United States contributed to the vulnerabilities of race and gender for sex trafficking predation as well as criminalization for Black and Native American girls and women. The gendered analysis of men and women who chose to become sex traffickers reveal different gendered pathways into trafficking offending and addresses the significance of these pathways for trafficking victims and potential future traffickers. These analyses demonstrate that intersectional criminology problematizes current research on human trafficking and future directions research should incorporate.

Originality/value – Current criminological research has a scarcity of intersectional criminological applications and fewer that offer a critical analysis of structural inequalities, histories of colonization and chattel enslavement, and interrogation of identities in both vulnerabilities for trafficking victims, how they may interact with agents from the criminal justice system, and the impacts of intersecting identities for traffickers and their offending. If criminology scholars aim to use their research in anti-trafficking efforts and policy recommendations, these analyses are vital both for addressing victimization and offending pathways for exploitation victims and their exploiters.

Traffic signal control is one of the oldest application areas of fuzzy sets in transportation. In general, fuzzy control is found to be superior in complex problems with multi-objective decisions. In traffic signal control, several traffic flows compete for the same time and space, and different priorities are often set to different traffic flows or vehicle groups

The public transport priorities are a very important part of the effective traffic signal control. Normally, the public transport priorities are programmed by using special algorithms, which are tailor-made for each intersection. The experiences have proved that this kind of algorithms can be very effective if some compensation algorithms and the traffic-actuated control mode are used. We believe that using the fuzzified public transport priority algorithms, the measures of effectiveness of traffic signal control can be even better. In this paper, our fuzzy control algorithm of the public transport priorities will be presented.

An ideal victim is someone who is both weak and strong enough (Christie, 1986). To be seen as an ideal victim one should be vulnerable, weak and not to blame for the crime one has been subjected to. But, in order to be seen, heard and believed one must also be strong, resourceful and confident. This chapter discusses the conflicting perceptions between the weak and the strong victim in light of one particular group of victims, Nigerian women subjected to trafficking for prostitution. What types of expectations do these women meet when identified as victims of trafficking in Norway? Do the Nigerian women live up to the image of the ideal victim? Or do they have to adjust their behaviour in order to enter this role and be entitled to help and assistance? The answers to these questions tell us whether existing trafficking measures are based on the real needs of victims of trafficking, or an idealised image of their problems and needs.