Cellular automata simulation of traffic spillback and queue-jumping behaviors at off-ramp on urban expressways in Shanghai

Urban expressways connect with local surface/arterial roads tightly through off-ramps, then lead to the increased traffic volume during peak hours, traffic flows near off-ramps usually become chaotic. Therefore traffic flow behavior at off-ramps is critical to improve traffic management of urban expressways with better analysis. Drivers´ queue-jump behavior near the off-ramp occurs frequently in the city of developing country, which contributes to the traffic complexity. However, the existing microscopic traffic simulation usually neglected drivers´ queuejump behaviors. So, multiple cellular automata based simulation model was built, which specifically targets on queue jump behaviors and the traffic spillback near expressway off-ramp, which the car is contained multiple cellular. Queue-jump rules are incorporated into the car-following and lane changing logics in the model. Using the model, different configurations around off-ramp in combination was simulated. The results show that, easy to recognizable pavement markers is designed to reduce the number of discretionary lane-changes, and multiple cellular cars in simulation reflects the traffic state better.