Data

Trav Info Evaluation (Technology Element ) Traveler Information Center (TIC) Study: System Reliability and Communications Interface

Miller, Mark
Loukakos, Dimitri
1998

TravInfo is a Field Operational Test of advanced traveler information systems for the San Francisco Bay Area, sponsored by the Federal Highway Administration (FHWA). The project involves a public/private partnership which seeks to compile, integrate and broadly disseminate timely and accurate multi-modal traveler information through commercial products and services. The public sector component centers on the Traveler Information Center (TIC), which collects and integrates both static and dynamic traveler information. The TIC began operations in September 1996 and will operate as an FOT...

Collecting Road Traffic Data Using ALOHA Mobile Radio Channel

Linnartz, Jean-Paul M.G.
Gamba, David P.
1993

This report proposes a spectrum efficientsolution for transmitting link travel times from vehicles to a central infrastructure. The performance of an ALOHA mobile radio system for this application is studied analytically. The average number of new updates per minute and the expected time lapsed since the latest update of the road traffic situation in a particular street section is obtained. Results show that in an urban environment, a single (cellular) radio channel has sufficient capacity if receivers are located every 5 to 10 km.

Event-based ATIS: Practical Implementation and Evaluation of Optimized Strategies (Part I)

Jayakrishnan, R.
Tsai, Wei K.
Oh, Jun-Seok
Adler, Jeffrey
1999

This project will further adapt and enhance the previous research of relevance to event-based Advanced Traveler Information Systems (ATIS) and implement the algorithms for traffic management in Anaheim. The implementation involves the Caltrans-UCI ATMS research testbed framework at the UCI Institute of Transportation Studies, as well as the physical hardware available for communication to the city of Anaheim. The analytical algorithms proposed for use here include those for static and dynamic traffic assignment. and the modeling schemes used are the result of previous PATH and Testbed...

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.

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...

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...