Reinforcement learning (RL) is a challenging task, especially in highly competitive multiagent scenarios. We consider the route choice problem, in which self-interested drivers aim at choosing routes that minimise their travel times. Employing RL here is challenging because agents must adapt to each others’ decisions. In this paper, we investigate how agents can overcome such condition by minim...

Advances in technology equip tra c domain with instruments to gather and analyze data for safe and fuele cient traveling. This article elaborates on the e↵ects from taxi drivers route selection on fuel e ciency. We fuse real driving behavior data from taxi cabs, weather, and digital map information for fuel consumption prediction. That way we compare actually driven trips and their quickest and...

4 (1) studied the bridge choice behavior of commuters before and after a new bridge opened to the 5 public. This bridge replaced the previously collapsed I-35W bridge in the metro area of Minneapolis-St. 6 Paul. The original I-35W bridge collapsed on August 1st 2007, and the replacement bridge opened to the 7 public on September 18th 2008. This study extends (1) by considering explicitly the da...

TRAVELERS’ ROUTE CHOICE BEHAVIOR IN RISKY NETWORKS SEPTEMBER 2013 HENGLIANG TIAN B.S., BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS M.S., UNIVERSITY OF MASSACHUSETTS AMHERST Ph.D., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Song Gao The accurate modeling of travelers’ route choice decision making when faced with unreliable (risky) travel times is necessary for the assessme...

Though communicative goals are an important element in language production, few studies investigate the extent to which these goals might affect the form and content of referring expressions. In this study, we directly contrast two tasks with different goals: identification and instruction giving. Speakers had to refer to a target building nearby or further away, so that their addressee would d...

We consider the problem of designing lines in a public transport system, where we include user-optimal route choice. The model we develop ensures that there is enough capacity present for every passenger to travel on a shortest route. We present two different integer programming formulations for this problem, and discuss exact solution approaches. To solve large-scale line planning instances, w...

This paper investigates the performance – in terms of choice probabilities and correlations existing new specifications closed-form route models with flexible correlation patterns, namely Link Nested Logit (LNL), Paired Combinatorial (PCL) more recent Combination (CoNL) models. Following a consolidated track literature, Multinomial Probit (MNP) model by [1] are taken as targets. Laboratory expe...

The pervasive location-based technologies, such as GPS and cell phone, help us find the pattern of geographical information of human behavior and also help dig opportunities in real world. In transportation field, they help people better understand the transportation behavior and at the same time collect necessary information for us. One important aspect of its application is how people choose ...

With the rapid development of the Metro network in China, the greatly increased route alternatives make passengers' route choice behavior and passenger flow assignment more complicated, which presents challenges to the operation management. In this paper, a path sized logit model is adopted to analyze passengers' route choice preferences considering such parameters as in-vehicle time, number of...