Modeling route choice criteria from home to major streets: A discrete choice approach

International Journal of Transportation Science and Technology

Esmaeil Balal¹  Jose Osiris Vidana-Bencomo²  Salvador Hernandez³  Jason C. Anderson⁴ 

[1] Dept. of Civil Engineering, The University of Texas at El Paso, 500 West University Ave., El Paso, TX 79968, USA;Dept. of Civil Engineering, Universidad Autónoma de Ciudad Juárez, Av. Plutarco Elías Calles 1210, 32310 Ciudad Juárez, Chihuahua, Mexico;School of Civil & Construction Engineering, Oregon State University, 309 Kearney Hall, 1491 Southwest Campus Way, Corvallis, OR 97331, USA;School of Civil and Construction Engineering, Oregon State University, 211 Kearney Hall, 1491 Southwest Campus Way, Corvallis, OR 97331, USA;

关键词: Discrete choice model;    Origin-destination matrix;    Route choice;    Traffic simulation;    Transportation planning;   

DOI  :  10.1016/j.ijtst.2017.12.002

来源: DOAJ

【 摘 要 】

A discrete choice model that consists of three sub-models was developed to investigates the route choice criteria of drivers who travel from their homes in the morning to the access point along the major streets that bound the Traffic Analysis Zones (TAZs). The first sub-model is a Nested Logit Model (NLM) that estimates the probability of a driver has or has no multiple routes, and if the driver has multiple routes, the route selection criteria are based on the access point’s intersection control type or other factors. The second sub-model is a Mixed Logit (MXL) model. It estimates the probabilities of the type of intersection control preferred by a driver. The third sub-model is a NLM that estimates the probabilities of a driver selecting his/her route for its shortest travel time or to avoid pedestrian, and if the aim is to take the fastest route, the decision criteria is based on the shortest distance or minimum stops and turns. Data gathered in a questionnaire survey were used to estimate the sub-models. The attributes of the utility functions of the sub-models are the driver’s demographic and trip characteristics. The model provides a means for transportation planners to distribute the total number of home-based trips generated within a TAZ to the access points along the major streets that bound the TAZ.

【 授权许可】

Unknown