Urban signalised intersections: Impact of vehicle heterogeneity and driver type on cross-traffic manoeuvres

Simulation of Signalized Intersection with Non-Lane-Based Heterogeneous Traffic Conditions Using Cellular Automata

“…It showed 30% variation in the observations of delays. Similar to Tian, Deo and Ruskin also modeled a two-mode model having large vehicles double the size of small vehicles (10,27). The model was able to simulate a cross-and Ttype signalized intersection with fixed traffic signal timings.…”

Cellular automata models for signalised and unsignalised intersections with special attention to mixed traffic flow: a review

“…A heterogeneous simulation model for Indian conditions following mixed lane behaviour was developed [17]. In continuation to the modelling of heterogeneous traffic at signalised intersections a model with two types of vehicles named as long and short vehicles was also modelled; long vehicles had size double of short vehicles [37], but seepage and emission were avoided in the model. In a similar way a simulation model, to study the vehicular interactions associated with right‐turning vehicles (similar to right moving traffic in India) in homogeneous traffic using CA was also studied [38].…”

“…Seepage behaviour and emissions evaluations were not considered in this model. Later other studies [37, 41], also modelled driver behaviour in two classes named as rational (normal) and aggressive (susceptible to risk). Drivers who were crossing the intersection in yellow timing were considered as aggressive as they perceived that the time is not sufficient for crossing or they may have perceived that they are getting too late.…”

“…Model was calibrated and validated with field data. Model was able to predict delays but saturation flows were predicted with 30% variabilitylane and direction[37]2✓✓✗✗open✓simulation of heterogeneous traffic at simple X and T‐intersectionsmodel was validated with data of Dublin[61]1✗✗✗✗periodic✗besides free flow, jamming and platoon phases in fundamental diagram, a fourth phase is visible and vanishes when probability of priority is 0.5[62]1✗✗✗✗periodic✗modified NS model, simulated urban two‐way traffic having one lane both sides, added additional movement rule and grid‐lock prevention rulefundamental diagrams were validated[38, 63]1✗✗✗✗open✓simulated right‐turn vehicular interactions for Singapore. Model was validated with field data.…”

Phase diagrams of heterogeneous traffic flow at a single intersection in a deterministic Fukui-Ishibashi cellular automata traffic model

“…In the traffic flow studies, the heterogeneity of vehicular traffic is an important feature and has been widely investigated. Different types of vehicles (e.g., the length and the maximal velocity of vehicles and so on) and/or drivervehicle behaviors have been considered [34][35][36][37][38][39][40][41][42][43][44][45]. Motivated by this fact, this paper studies heterogeneous traffic flow at a single intersection, considering the mixture of two types of vehicles with different lengths.…”