CoNL route choice model: numerical assessment on a real dataset of trajectories

This paper proposes a numerical assessment of the performances of the CoNL route choice model [1] on a big-size network (Regione Campania). The CoNL is a particular specification of the CoRUM model [2]. Currently, its performances in terms of choice probabilities have been investigated only on some toy networks, by comparing route choice probabilities with reference to target Multinomial Probit choice probabilities. The paper provides also a discussion about different aspects of the CoNL for route choice: the possibility to take into account also non-efficient path, the computation time of the two versions of the algorithm for building the CoNL structure, and the possibility to adopt some different specifications for computing the structural parameters of the model. The comparison is based on a dataset of 195 trajectories on 145 different o-d pairs, tracked with the aid of an Android application. The trajectories have been collected through the smartphones of travellers moving within the network of Regione Campania (Italy). The results show the superiority of the CoNL route choice model in reproducing observed route choices when compared with other commonly used route choice formulations.

[1]  Takashi Akamatsu,et al.  Cyclic flows, Markov process and stochastic traffic assignment , 1996 .

[2]  Shlomo Bekhor,et al.  Link-Nested Logit Model of Route Choice: Overcoming Route Overlapping Problem , 1998 .

[3]  E. Cascetta,et al.  A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS , 1996 .

[4]  A. Papola,et al.  On the covariance structure of the Cross-Nested Logit model , 2008 .

[5]  Ennio Cascetta,et al.  Transportation Systems Analysis: Models and Applications , 2009 .

[6]  C. Daganzo Unconstrained Extremal Formulation of Some Transportation Equilibrium Problems , 1982 .

[7]  Robert B. Dial,et al.  A PROBABILISTIC MULTIPATH TRAFFIC ASSIGNMENT MODEL WHICH OBVIATES PATH ENUMERATION. IN: THE AUTOMOBILE , 1971 .

[8]  Fiore Tinessa,et al.  Application of the Combination of Random Utility Models (CoRUM) to route choice , 2018 .

[9]  Shlomo Bekhor,et al.  Adaptation of Logit Kernel to Route Choice Situation , 2002 .

[10]  A. Papola,et al.  A practically tractable expression of the covariances of the Cross-Nested Logit model , 2013 .

[11]  C. Fisk Some developments in equilibrium traffic assignment , 1980 .

[12]  Peter Vovsha,et al.  Application of Cross-Nested Logit Model to Mode Choice in Tel Aviv, Israel, Metropolitan Area , 1997 .

[13]  Warren B. Powell,et al.  An algorithm for the equilibrium assignment problem with random link times , 1982, Networks.

[14]  Sang Nguyen,et al.  A Unified Approach to Equilibrium Methods for Traffic Assignment , 1976 .

[15]  Daniel McFadden,et al.  Modelling the Choice of Residential Location , 1977 .

[16]  T. Koopmans,et al.  Studies in the Economics of Transportation. , 1956 .

[17]  Jeffrey P. Newman Normalization of network generalized extreme value models , 2008 .

[18]  Andrea Papola,et al.  A Network Generalized Extreme Value Model for Route Choice Allowing Implicit Route Enumeration , 2013, Comput. Aided Civ. Infrastructure Eng..

[20]  S. Bekhor,et al.  Investigating path-based solution algorithms to the stochastic user equilibrium problem , 2005 .

[21]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[22]  S. Kitthamkesorn,et al.  A Path-size Weibit Stochastic User Equilibrium Model , 2013 .

[23]  Shlomo Bekhor,et al.  Investigation of Stochastic Network Loading Procedures , 1998 .

[24]  Enrique Castillo,et al.  Closed form expressions for choice probabilities in the Weibull case , 2008 .

[25]  Carlos F. Daganzo,et al.  Multinomial Probit: The Theory and its Application to Demand Forecasting. , 1980 .

[26]  Andrea Papola,et al.  A new random utility model with flexible correlation pattern and closed-form covariance expression: The CoRUM , 2016 .

[27]  H. Williams On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit , 1977 .

[28]  Carlo G. Prato,et al.  The Factor of Revisited Path Size , 2008 .

[29]  R. Duncan Luce,et al.  Individual Choice Behavior , 1959 .

[30]  V. Marzano A simple procedure for the calculation of the covariances of any Generalized Extreme Value model , 2014 .

[31]  M. Bierlaire,et al.  Normalization and correlation of crossnested logit models , 2007 .

[32]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[33]  A. Papola Some development on the cross-nested logit model , 2004 .

[34]  Michel Bierlaire,et al.  Capturing correlation with subnetworks in route choice models , 2007 .

[35]  Carlos F. Daganzo,et al.  On Stochastic Models of Traffic Assignment , 1977 .

[36]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[37]  E. Cascetta,et al.  STOCHASTIC USER EQUILIBRIUM ASSIGNMENT WITH EXPLICIT PATH ENUMERATION: COMPARISON OF MODELS AND ALGORITHMS , 1997 .

[38]  M. Bell Alternatives to Dial's logit assignment algorithm , 1995 .

[39]  Warren B. Powell,et al.  A COMPARISON OF STOCHASTIC AND DETERMINISTIC TRAFFIC ASSIGNMENT OVER CONGESTED NETWORKS , 1981 .

[40]  F. Russo,et al.  An assignment model with modified Logit, which obviates enumeration and overlapping problems , 2003 .

[41]  Michael Scott Ramming,et al.  NETWORK KNOWLEDGE AND ROUTE CHOICE , 2002 .

[42]  Carlo G. Prato,et al.  Route choice modeling: past, present and future research directions , 2009 .