Traffic assignment model for combined mode with travel condition constraints

Abstract

Combined-mode traffic assignment is one of the key links for multi-modal transportation planning. In order to quantitatively evaluate the implementation effect of combined-mode transportation and explore its assignment mechanism, a combined-mode traffic assignment model with travel constraints is proposed. First, the practical factors of combined mode in real world are discussed and integrated into the analysis of multi-modal network transformation as related constraints. Second, the physical transportation network is translated to equivalent super network (SN) and state-augmented network (SAN) based on the graph theory. Moreover, the network size constrained by the actual conditions is conducive to further analysis of combined-mode trips. Third, a tri-level combined-mode traffic assignment model is formulated based on the simulation platform of SAN. The first level of the model is to address the combined-mode choice, the second level is to transfer choice on SAN, and the third level is to characterize auto travelers’ route choice behavior. By analyzing the impedance in multi-level network, an MSA algorithm solving Nest-Logit model is proposed. Finally, numerical example is performed to validate the model. The method proposed in this paper considers the travel similarity, reduces the network scale, conforms to the travel logic and makes up for the shortcomings of traditional traffic allocation methods.

Evaluation of Traffic Assignment Models through Simulation

“…Finally, several studies have considered two or more means of transport simultaneously in a multimodal scenario. Thus, Yu and Guo [31] developed a tri-level combined-mode traffic assignment model; Pi et al [32] included heterogeneous traffic on roads, parking availability, and travel modes (such as solo-driving, carpooling, ride-hailing, public transit, and park-and-ride); Macedo et al [33] proposed an efficient traffic assignment, where users are not only concerned about travel times, but also about global and local pollutant emissions; Jiang et al [34] included the car-truck interaction paradox in assignment problems; and Dimitrov et al [35] modeled the interaction between buses, passengers, and cars on a bus route.…”

Evaluation of Traffic Assignment Models through Simulation

“…Finally, several studies have considered two or more means of transport simultaneously in a multimodal scenario. Thus, Yu & Guo [31] develop a tri-level combined-mode traffic assignment model; Pi et al [32] include heterogeneous traffic on roads, parking availability and travel modes (such as solo-driving, carpooling, ride-hailing, public transit, and park-and-ride); Macedo et al [33] propose an efficient traffic assignment, where users are not only concerned about travel times, but also about global and local pollutant emissions; Jiang et al [34] include the car-truck interaction paradox in assignment problems; and Dimitrov et al [35] model the interaction between buses, passengers and cars on a bus route. Some researchers have applied these methodologies in a specific case study, often with the support of computer simulation [36][37][38][39], while others have attempted to assess different techniques or even propose novel ones [40][41][42][43][44][45].…”

Equilibrium Assignment of Traffic Networks Based on Path Selection

“…The initial research on user travel behavior originated from the first and second theorems of traffic network balance proposed by Wardrop in 1952 [4].…”