The Green Choice: Learning and Influencing Human Decisions on Shared Roads

Autonomous vehicles have the potential to increase the capacity of roads via platooning, even when human drivers and autonomous vehicles share roads. However, when users of a road network choose their routes selfishly, the resulting traffic configuration may be very inefficient. Because of this, we consider how to influence human decisions so as to decrease congestion on these roads. We consider a network of parallel roads with two modes of transportation: (i) human drivers who will choose the quickest route available to them, and (ii) ride hailing service which provides an array of autonomous vehicle ride options, each with different prices, to users. In this work, we seek to design these prices so that when autonomous service users choose from these options and human drivers selfishly choose their resulting routes, road usage is maximized and transit delay is minimized. To do so, we formalize a model of how autonomous service users make choices between routes with different price/delay values. Developing a preference-based algorithm to learn the preferences of the users, and using a vehicle flow model related to the Fundamental Diagram of Traffic, we formulate a planning optimization to maximize a social objective and demonstrate the benefit of the proposed routing and learning scheme.Comment: Submitted to CDC 201

Active Transportation for America

In this era of traffic congestion, high gas prices, climate change, an obesity epidemic, and fiscal constraints, federal transportation funding has reached a critical crossroads.Decades of car-centered transportation policies have dead-ended in chronic congestion, crippling gas bills, and a highly inefficient transportation system that offers only one answer to most of our mobility needs -- the car.Investment now in a more diverse transportation system -- one that provides viable choices to walk and bike, and use public transportation in addition to driving -- will lead to a far more efficient use of transportation resources.Active transportation is the missing piece in our transportation system

Rationing can backfire : the day without a car in Mexico City

In November 1989, Mexico City's administration imposed a regulation banning each car from driving on a specific day of the week. The regulation has been both popular and controversial. Some feel that it is a reasonable concession aimed at alleviating congestion and pollution problems. Others feel it is both inefficient and unfair: inefficient in the way most rationing systems are inefficent, and unfair in that it is costly to some and easily avoided or accommodated by others. Some feel that it may also be so inefficient that it is counterproductive. The authors found evidence to support that view. Many households bought an additional car to get additional driving permits, and the amount of driving increased. Greater use of old cars and increased weekend driving may have contributed to the disappointing results of Mexico's one-day ban on driving: high welfare costs and none of the intended benefits.Roads&Highways,Economic Theory&Research,Environmental Economics&Policies,Financial Crisis Management&Restructuring,Country Strategy&Performance,Economic Theory&Research,Environmental Economics&Policies,Roads&Highways,Financial Crisis Management&Restructuring,Transport and Environment

Spatial Development and Energy Consumption

Previous literature has suggested that the urban form (i.e., city size, density, and center distribution pattern) influences urban energy consumption. It has been argued that more dense development is likely to result in more energy-efficient and sustainable cities. However, very little is known about the precise magnitude of possible energy savings from more compact urban form. Moreover, practically no research has been done to investigate which urban policies are likely to be effective in making cities more energy efficient and to quantify those potential energy savings. In this paper we discuss the potential effectiveness of urban policies at improving energy efficiency. First, we analyze several abstract scenarios suggested by the literature to see whether making a previously dispersed city more compact would result in improved energy efficiency. Then we model realistic transportation and land-use policies and examine whether those policies are likely to reduce energy consumption in the urban context.energy consumption, urban form, general equilibrium, land use, transportation, government policy