Abstract
Modelling route choice behaviours are essential in traffic operation and transportation planning. Many studies have focused on route choice behaviour using the stochastic model, and they have tried to construct the heterogeneous route choice model with various types of data. This study aims to develop the route choice model incorporating travellers’ heterogeneity according to the stochastic route choice set. The model is evaluated from the empirical travel data based on a radio frequency identification device (RFID) called dedicated short-range communication (DSRC). The reliability level is defined to explore the travellers’ heterogeneity in the choice set generation model. The heterogeneous K-reliable shortest path- (HKαRSP-) based route choice model is established to incorporate travellers’ heterogeneity in route choice behaviour. The model parameters are estimated for the mixed path-size correction logit (MPSCL) model, considering the overlapping paths and the heterogeneous behaviour in the route choice model. The different behaviours concerning the chosen routes are analysed to interpret the route choice behaviour from revealed preference data by comparing the different coefficients’ magnitude. There are model validation processes to confirm the prediction accuracy according to travel distance. This study discusses the policy implication to introduce the traveller specified route travel guidance system.
Highlights
Many studies have focused on the modelling behaviours of choosing routes using mathematical and empirical solutions.ey have used various stochastic models to provide mathematical approaches for searching the available paths and choosing the most feasible routes [1,2,3,4]
Many studies have recently explored these personal characteristics in the models, e.g., prospect theory, bounded rationality, and choice inertia. e route choice behaviour modelling should incorporate travellers’ heterogeneity in the choice set generation and the route choice model. is study aims to construct the route choice model accommodating heterogeneous route choice behaviour for travel time reliability. e route choice model is developed through the heterogeneous K-α-reliable shortest path searching (HKαRSP) method using the reliability level derived by comparing the travel time budget (TTB) of the network of the individuals
E different methodologies of choice set generation are compared to improve the accuracy of route choice models, i.e., the k shortest paths-based choice model (KSP), the k reliable shortest paths-based choice model (KαRSP), and the heterogeneous k reliable shortest paths-based choice model (HKαRSP). e route choice models are used to compare the accuracy of choice probability according to the choice set generation methodologies from various choice models, i.e., multinomial logit (MNL), path-size logit model (PSL), path-size correction logit model (PSCL), cross nested logit (CNL), paired combinational logit (PCL), and mixed multinomial logit (MMNL) models. e route choice model makes it possible to determine whether the choice set generation models are well-formulated
Summary
Many studies have focused on the modelling behaviours of choosing routes using mathematical and empirical solutions. E route choice model is developed through the heterogeneous K-α-reliable shortest path searching (HKαRSP) method using the reliability level derived by comparing the travel time budget (TTB) of the network of the individuals. E deviation-based path set generation models have defined the distribution of link travel time as normal distribution and constructed the stochastic travel time between the OD pairs to compare the network’s reliable paths. E other stochastic travel time-based models employed the TTB for travel time reliability to reflect individuals’ heterogeneous risk-averse characteristics [21, 22]. E different methodologies of choice set generation are compared to improve the accuracy of route choice models, i.e., the k shortest paths-based choice model (KSP), the k reliable shortest paths-based choice model (KαRSP), and the heterogeneous k reliable shortest paths-based choice model (HKαRSP). e route choice models are used to compare the accuracy of choice probability according to the choice set generation methodologies from various choice models, i.e., MNL, PSL, PSCL, CNL, PCL, and MMNL models. e route choice model makes it possible to determine whether the choice set generation models are well-formulated
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