Data

Enabling Demand Modeling from Privately Held Mobility Data

Pozdnoukhov, Alexei
Sheehan, Madeleine
Yin, Mogeng
2018

This papers presents the design of the travel mode detection component within a generic architecture of processing individual mobility data. It approaches mode detection in two steps, each aiming at a particular objective. The first step develops a discriminative classifier that detects the mode of the observed trips or a sequence of modes in a multiple leg journey. It requires a considerable amount of ground truth data with known modes to be available for training. It also relies on a k-shortest path algorithm that generates plausible alternatives routes for the journey. The second step...

Sustainable Operation of Arterial Networks

Kalathil, Dileep
Kurzhanskiy, Alex A.
Varaiya, Pravin
2017

This report describes operational data analysis and modeling of arterial networks with signalized intersections as follows: The setup for data collection, analysis and simulation is presented in Section 2.1. Detailed analysis of collected signal phasing and traffic data is provided in section 2.2. Arterial traffic and platoon modeling is described in Section 2.3. Simulation results of the Rollins Park network is discussed in Section 2.4. Research conducted under this task is an important stepping stone for building a three-level information and control system for urban networks with high-...

Demand Forecasting and Activity-based Mobility Modeling from Cell Phone Data

Pozdnukhov, Alexey
2016

This project develops machine learning algorithms and methods for processing of cell phone location logs to generate travel behavior data. The project initially focuses on bias correction and activity inference for generating activity-based travel demand models. Inferred activity chains are used to calibrate an agent-based traffic micro-simulation for the SF Bay Area, and validated on loop detector counts.

Control Strategies for Corridor Management

Amiri, Zahra
Lo, Yu-Chieh
Skabardonis, Alexander
Varaiya, Pravin
2016

Integrated management of travel corridors comprising of freeways and adjacent arterial streets can potentially improve the performance of the highway facilities. However, several research gaps exist in data collection and performance measurement, analysis tools and control strategies. In this project first we analyzed high resolution data consisting of time-stamped records of every event involving vehicles, together with the signal phase at real-world signalized intersections and developed procedures for estimating performance measures. Next, we assessed the performance of a new...

Mobile Apps and Transportation: A Review of Smartphone Apps and A Study of User Response to Multimodal Traveler Information

Shaheen, Susan
Martin, Elliot
Cohen, Adam
Musunuri, Apoorva
Bhattacharyya, Abhinav
2016

In recent years, technological and social forces have pushed smartphone applications (apps) from the fringe to the mainstream. Understanding the role of transportation apps in urban mobility is important for policy development and transportation planners. This study evaluates the role and impact of multimodal aggregators from a variety of perspectives, including a literature review; a review of the most innovative, disruptive, and highest-rated transportation apps; interviews with experts in the industry, and a user survey of former multimodal aggregator RideScout users. Between February...

Traffic Predictive Control: Case Study and Evaluation

Coogan, Samuel
Dutreix, Maxence
2017

This project developed a quantile regression method for predicting future traffic flow at a signalized intersection by combining both historical and real-time data. The algorithm exploits nonlinear correlations in historical measurements and efficiently solves a quantile loss optimization problem using the Alternating Direction Method of Multipliers (ADMM). The resulting parameter vectors allow determining a probability distribution of upcoming traffic flow. These predictions establish an efficient, delay-minimizing control policy for the intersection. The approach is demonstrated on a...

Long Distance Travel in the California Household Travel Survey

Goulias, Konstadinos
Davis, Adam W.
McBride, Elizabeth C.
Janowicz, Krzysztof
Zhou, Rui
2017

The objective of this report is to first review what we know from the literature about long distance travelers, analyze the contents of the long distance travel log of the California Household Travel Survey (CHTS), demonstrate the augmentation of the trip/tour records with destination attractiveness indicators, derive prototypical traveler profiles, and provide amore detailed analysis of long distance tours. The data are from a simplified travel log that asked respondents from households to report all the trips 50 miles or longer they made in the 8-weeks preceding the day they were...

The Incidence of the California Vehicle License Fee

Dill, Jennifer
Goldman, Todd
Wachs, Martin
1998

Since 1935, the Vehicle License Fee (VLF) has been assessed on all privately owned registered vehicles in California. It is a property tax currently set at 2% of a vehicle's value, based upon its most recent purchase price and a fixed depreciation schedule. The Legislative Analyst's Office has estimated that the VLF, if unchanged, would have raised approximately $3.9 billion in the 1998-99 fiscal year. In light of the current fiscal surplus, the Legislature recently reduced the VLF by 25%, with possible additional reductions in future years. Because little information is available on who...

Matroid Intersection and its application to a Multiple Depot, Multiple TSP

Rathinam, Sivakumar
Sengupta, Raja
2006

This paper extends the Held-Karp’s lower bound available for a single Travelling Salesman Problem to the following symmetric Multiple Depot, Multiple Travelling Salesman Problem (MDMTSP): Given k salesman that start at different depts, k terminals and n destinations, the problem is to choose paths for each of the salesmen so that (1) each vehicle starts at its respective depot, visits atleast one destination and reaches any one of the terminals not visited by other vehicles, (2) each destination is visited by exactly one vehicle and (3) the cost of the paths is a minimum among all possible...

Benchmarking “Smart City” Technology Adoption in California: An Innovative Web Platform for Exploring New Data and Tracking Adoption

Post, Alison, PhD
Ratan, Ishana
Hill, Mary
Huang, Amy
Soga, Kenichi, PhD
Zhao, Bingyu, PhD
2021

In recent years, “smart city” technologies have emerged that allow cities, counties, and other agencies to manage their infrastructure assets more effectively, make their services more accessible to the public, and allow citizens to interface with new web-and mobile-based alternative service providers. This project developed an innovative user-friendly web interface for local and state policymakers that tracks and displays information on the adoption of such technologies in California across the policing, transportation, and water and wastewater sectors for a comprehensive set of local...