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In this paper, we propose a two-lane cellular automata model that explains the relationship between traffic-related parameters and likelihood of accidents P a c at a signalized intersection. It is found that, the risk of collision rises as well as the lane-changing probability P c h g augments, besides, the accidents and inflow α show a nonlinear relationship. Moreover, P a c exhibits three different phases (I, II and III) depending on α . Likewise, the system exhibits a second (first) order transition from phase I to phase II when P c h g >0 ( P c h g = 0 ). Nevertheless, the transition from phase II to phase III is of first (second) order when P c h g > 0 ( P c h g = 0 ). In addition, the result analysis shows that the distribution of accidents according to the intersection sites is not equiprobable. Furthermore, when the traffic arriving strength is not very high, the green light length of one road should be increased to restrain P a c and enhance the road safety. Finally, the model results illustrated that the traffic at the intersection is more dangerous adopting asymmetric lane-changing rules than symmetric ones.

The electronic structure and the transport phenomena of δ-MIGFETs have been studied in an AlxGa1−xAs host matrix. The subband structure and mobility calculations were performed within the effective mass approximation and relative mobility formula, respectively. Both the electronic structure and the transport properties are calculated as dependent on the applied magnetic field (B), the aluminum molar fraction (x) and the contact voltage in one of the gates (VC1). It was found that the mobility and conductivity are enhanced by increasing the magnetic field for appropriate aluminum molar fraction and contact voltage. In particular, the mobility (conductivity) is improved almost 26% (32%) for VC1 = 900 meV (850 meV), x = 0.2, and B = 20 T.