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A modified cellular automaton (CA) model based on the NaSch model is proposed to simulate typical reckless
jaywalking which can cause serious traffic jam and even traffic accident. With a view to assess traffic psychology, walking
characteristics such as customary activity, randomness, conformity and tendency are analyzed. Two parameters reflecting
the influence degree of human factor are introduced with the global consideration of the above walking characteristics.
The numerical simulations are carried out under periodic boundary conditions. Different cases including reckless
jaywalking at a fixed position and other stochastic positions are taken into account. The relationship between the traffic
states and the weight of human factor is investigated. The corresponding fundamental diagrams and the spatio-temporal
patterns are given. Furthermore, the formation mechanism of traffic jam is explored and the measures for decreasing the
negative influence of human factors are discussed.